This disclosure relates generally to a programmable test instrument
Automatic test equipment (ATE) plays a role in the manufacture of electronics, such as semiconductor devices and circuit board assemblies. Manufacturers generally use automatic test equipment, or “tester instruments”, to verify the operation of devices during the manufacturing process. Such devices are referred to as a “device under test” (DUT) or a “unit under test” (UUT). Early detection of faults eliminates costs that would otherwise be incurred by processing defective devices, and thus reduces the overall costs of manufacturing. Manufacturers also use ATE to grade various specifications. Devices can be tested and binned according to different levels of performance in areas, such as speed. Devices can be labeled and sold according to their actual levels of performance.
In general, in one aspect, a test instrument includes a first processing system that is programmable to run one or more test programs to test a device interfaced to a test instrument, and that is programmed to control operation of the test instrument, and a second processing system that is dedicated to device testing. The second processing system being programmable to run one or more test programs to test the device, and the first processing system has a first application programming interface (API) and the second processing system has a second API, the first API and the second API being different APIs, the first API and the second API having at least some duplicate functions.
In general, in another aspect, a method performed on a test instrument includes receiving a test program at a first processing system that is programmable to run one or more test programs to test a device interfaced to a test instrument, and that is programmed to control operation of the test instrument, generating, based on the test program, an altered test program that is executable on a second processing system, the second processing system being dedicated to device testing and being programmable to run one or more test programs to test the device, and transmitting the altered test program to the second processing system.
Aspects may include one or more of the following features. Functions of the first API are associated with corresponding functions of the second API. Functions of the first API are configured to call functions of the second API in response to information received by the first processing system. The information includes programming code written using functions of the first API, the functions of the first API calling functions of the second API to configure the programming code to run on the second processing system. Configuring the programming code to run on the second processing system includes generating code using functions associated with the second API in response to use of corresponding functions of the first API. The first processing system is programmable to generate a user interface, the user interface for interacting with the first processing system and for interacting with the second processing system through the first API and the second API.
The first processing system is programmable to generate a user interface, the user interface for interacting with the second processing system through the second API. The first processing system is programmed to run one or more test programs to test the device interfaced to the test instrument, and the second processing system is not programmed to run one or more test programs to test the device. The first processing system is not programmed to run one or more test programs to test the device interfaced to the test instrument, and the second processing system is programmed to run one or more test programs to test the device. The test instrument further includes one or more ports configured to mate to the device, the first processing system is configured to send test data to the device through the one or more ports, or the second processing system is configured to send test data to the device through the one or more ports.
The first processing system has a first application programming interface (API) and the second processing system has a second API, the first API and the second API being different APIs, the first API and the second API having at least some duplicate functions. The test program includes one or more calls to functions of the first API. Generating the altered test program includes identifying one or more corresponding functions of the second API that correspond to the one or more functions of the first API. Generating the altered test program includes replacing the one or more calls to functions of the first API with one or more calls to corresponding functions of the second API. The altered test program is executed on the second processing system to test the device. A development environment associated with the second processing system is provided that allows the altered test program to be modified at the second processing system.
Two or more of the features described in this disclosure, including this summary section, may be combined to form embodiments not specifically described herein.
The systems and techniques described herein, or portions thereof, may be implemented as a computer program product that includes instructions that are stored on one or more non-transitory machine-readable storage media, and that are executable on one or more processing devices. The systems and techniques described herein, or portions thereof, may be implemented as an apparatus, method, or electronic system that may include one or more processing devices and memory to store executable instructions to implement the stated functions.
The details of one or more implementations are set forth in the accompanying drawings and the description below. Other features, objects, and advantages will be apparent from the description and drawings, and from the claims.
Described herein is a test instrument that may include multiple processing layers (sometimes referred to as “tiers”). The multiple processing layers may include respective application programming interfaces (APIs) that include function libraries. The function libraries can store various functions that can be called by a program such as a test program or test logic that has been provided to the test instrument at least one level. In some examples, a first layer may programmed to run one or more test programs to test a device interfaced to the test instrument, and may also be programmed to control operation of the test instrument. A second layer of the same test instrument may be dedicated to device testing and may also run one or more test programs to test the device.
The first layer may include a first API and the second layer may include a second API, and the first API and the second API may differ from each other in some way. To allow test programs to be generated at the first layer and executed on the second layer, the first API and the second API may include at least some duplicate functions (e.g., a function of the first API may correspond to a function of the second API). Thus, a test program generated at the first layer (e.g., a test program that includes or calls functions of the first API) can be made compatible with a processing device of the second layer, as at least some of the functions of the first API have counterpart functions associated with the second API.
In some examples, the first layer may store associations or mappings between functions of the first API and corresponding functions of the second API. The stored associations and mappings can be used to alter or translate a test program generated at the first layer into a form that is suitable for execution at the second layer (e.g., by replacing or modifying functions of the first API in the test program to correspond to functions of the second API). The altered test program can then be transmitted to the second layer for execution.
In this example first tier 101, computer 102 includes one or more processing devices, such as one or more microprocessors or a single multi-core microprocessor (not shown). Computer 102 also includes memory (not shown) that stores executable code to control test instrument communication with the external environment, and to perform various “housekeeping” functions to control operation of test instrument 100. For example, computer 102 may be responsible for exchanging communications between the test instrument and one or more external entities over a network interface, scanning the test instrument for malware, memory management, power control, and other functions that are not specifically related to testing the DUT.
Computer 102 is also programmable to perform test operations on a DUT (e.g., 115) interfaced to test instrument 100. The test operations may include, but are not limited to, testing bus speed, reaction time, or any other appropriate operational aspects of the DUT. In general, the testing that is performed is dependent upon the type of device being tested, and the information sought during testing.
One or more test programs may be loaded into memory on computer 102, and executed by processing device(s) in computer 102 in order to perform the testing. While performing testing, computer 102 may continue to perform other functions, such as those described above, to keep test instrument 100 operational. Consequently, the test latency (e.g., the amount of time between the start of a test and receipt of test results) can be on the order of milliseconds. Furthermore, timing variability can also be affected by the computer 102 performing system functions, (e.g., virus scanning) during one run of a test but not during another. This could result in consecutive steps of a test sequence executing more closely in time when the virus scan is not running relative to when the virus scan is running. This is but an example of the test latency. In different systems, numerous factors may have an effect on test latency, such as the speed of the processing device(s) in computer 102, the amount of memory available in computer 102 to run the test programs, a division of attention among processing devices, and so forth.
A possible advantage of performing testing via computer 102 relates to development costs of test programs. More specifically, computer 102 may run a windowing, or other relatively user-friendly, operating system. Tools available for development of test programs on such an operating system are typically widely available, and generally familiar to test program developers. As a result, the cost of developing test programs on computer 102, to run on computer 102, can be less than the cost of developing test programs to run on the other tiers of the multi-tiered architecture. This generalization, however, may not apply in all cases.
In this example, second tier 104 includes multiple embedded processing devices 106 to 108. Here, three embedded processing devices are shown; however, test instrument 100 may include any appropriate number of embedded processing devices, e.g., one, two, four, five or more. These processing devices are embedded in the sense that they are incorporated into test instrument 100; and are dedicated to performing test functions (e.g., to testing DUTs interfaced to test instrument 100). Embedded processing devices 106 to 108 typically are not responsible for test instrument operations like the “housekeeping” operations described above that are performed by computer 102. However, in some implementations, embedded processing devices 106 to 108 may be programmed to perform one or more such operations, or other operations not specifically directed to testing DUTs.
Each embedded processing device 106 to 108 may include, e.g., a microcontroller or a microprocessor having a single core or multiple cores. Each microprocessor is programmable, either directly or via computer 102. For example, a user of test instrument 100 may interact with the operating system of computer 102 to program an embedded processing device 106. Alternatively, there may a direct interface, e.g., hardware or software, through which each embedded processing device may be programmed. Programming, in this context, refers to storing one or more test programs onto a respective embedded processing device, which can be executed on that embedded processing device to test a DUT.
As shown in
A possible advantage of performing testing via an embedded processing device relates to test latency and timing variability. More specifically, because the embedded processing devices are dedicated to testing, their resources are not typically taxed by other tasks. As a result, testing latency can be less than that achieved by computer 102, and timing variability can be reduced. For example, test latency for an embedded processing device can be on the order of microseconds. This, however, is but an example of embedded processing device test latency. In different systems, numerous factors may have an effect on test latency, such as processing device speed, the amount of memory available to run the test programs, and so forth. Accordingly, the foregoing generalization may not apply in all cases.
Furthermore, tools are available for development of test programs on the embedded processing devices. As a result, the cost of developing test programs targeting an embedded processing device, to run on an embedded processing device, can be less than the cost of developing test programs to run on hardware, such as an FPGA. In some examples, cost issues can relate to the commonness of the skill sets need to program in the various tiers, and to the maturity of the respective development environments. Programming for the embedded tier versus the system tier may require more advanced SW skills. These skills may be less common and more expensive to develop/outsource. System tier development tools are quite refined and powerful relative to the corresponding tools for the embedded tier. This may reduce the cost of development for the system tier (all other things being equal). In addition, the cost of debugging test programs on an embedded processing device can be higher than the cost of debugging those tests on the system processing device for similar reasons. The debugging tools available on the system processing device may be less expensive, more powerful, and more familiar than similar tools available on the embedded processing devices.
Third tier 110 includes programmable logic, e.g., FPGAs 111 to 113, although other types of programmable logic may be used in lieu of FPGAs. Each FPGA is configured by loading a program image into the FPGA. This program image is referred to as an “FPGA load”. In this example, each FPGA is configured to act as an interface between a DUT, or portion thereof (e.g., a DUT bus) and test instrument 100. For example, an FPGA may specify a port width, port speed (e.g., 10 MHz to 400 MHz), the number of input ports, the number of output ports, and so forth.
First tier 101 computing device(s) (e.g., computer 102) and second tier 104 computing device(s) (e.g., embedded processing devices 106 to 108) access DUT 115 through third tier 110. For example, as shown in
Each FPGA may also be configurable to perform one or more tests on a corresponding DUT, or portion thereof to which the FPGA is interfaced. For example, the FPGA load for each FPGA may include one or more test routines that are run by the FPGA to test various aspects of the DUT. As above, the routines that are implemented depend upon the device being tested, and the information sought during testing. Test routines run by each FPGA may be run independently of other test routines run by other FPGAs, or there may be coordination among the various FPGAs. Each FPGA may execute its own test routine separately, and concurrently with, other embedded processing devices. In some implementations, there may be coordination among the FPGAs as to how their respective test programs are to be executed. Such coordination may be implemented by the FPGAs themselves, by their corresponding embedded processing devices, or by computer 102. In some implementations, the coordination may involve devices at different tiers of the architecture. For example, computer 102, in concert with embedded processing devices 106 to 108, may coordinate operation of respective FPGAs 111 to 113. In some implementations, the different FPGAs may implement different portions (e.g., modules) of the same test routine, with or without appropriate coordination.
A possible advantage of performing testing via an FPGA relates to test latency and to reducing timing variability. More specifically, because the FPGAs are hardware devices, they are able to run at higher speeds than the test routines programmed into either the embedded processing devices 106 to 108 or computer 102. As a result, testing latency can be less than that achieved by embedded processing devices 106 to 108 or computer 102. For example, test latency for an embedded processing device can be on the order of nanoseconds. This, however, is but an example of FPGA test latency. In different systems, numerous factors may have an effect on test latency. Accordingly, the foregoing generalization may not apply in all cases.
In some implementations, testing may be performed exclusively by one tier or another of the architecture. For example, computer 102 may be programmed to run one or more test programs to test a DUT, while devices on other tiers of the architecture do not perform DUT tests. Embedded processing devices 106 to 108 may be programmed to run one or more test programs to test a DUT, while devices on other tiers of the architecture do not perform DUT tests. FPGAs 111 to 113 may be configured to run one or more tests on the device, while devices on other tiers of the architecture do not perform DUT tests. Devices that are not performing tests are not necessarily dormant during this time. For example, computer 102 may continue to perform the housekeeping operations described above; the FPGAs may continue to route data to/from the DUT (i.e., to act as interfaces to the DUT); and the embedded processing devices may continue to be active in coordination or other communication (e.g., transmitting test results from the FPGAs to computer 102).
In other implementations, testing may be performed by different tiers of the architecture concurrently or in concert. For example, two or more of computer 102, embedded processing devices 106 to 108, and FPGAs 111 to 113 may act in coordination, at the same time or within the same test sequence, to perform one or more test operations on a single DUT or on multiple DUTs. To effect such coordination, appropriate programming is loaded into computer 102 and/or embedded processing devices 106 to 108, and/or an appropriate image is loaded into the FPGAs. By way of example, a first test may be performed on a DUT by computer 102; a second test may be performed on the DUT by embedded processing device 106; and a third test may be performed on the DUT by FPGA 111. The first, second and third tests may be separate tests, or part of the same test sequence. Data from the first, second and third tests may be combined, e.g., in computer 102, and processed to obtain the appropriate test results. These test results may be sent to an external computer (not shown) for analysis and reporting. Any tier of the architecture or another (e.g., third party) computer (not shown) may perform the coordination.
In implementations where one or more tiers of the architecture have not been programmed, the unprogrammed tiers may be bypassed (at least as far as their test functionality is concerned). The unprogrammed tiers may be pre-programmed or pre-configured to perform various functions, such as those described above relating to programming and communication among the tiers and with an external network.
Devices at the various tiers may be programmed or configured in real-time. In this context, “real-time” includes programming at test time or shortly before test time. That is, the test instrument need not come pre-programmed with test programs that are to be run on a DUT. Those test programs may be incorporated into the instrument at the appropriate time. Existing test programs on the test instrument may likewise be replaced with new test programs, as appropriate.
The testing layer 204 includes an embedded processing device 208 that is dedicated to one or more specialized tasks, such as device testing. While the testing layer 204 may include more than one embedded processing device (e.g., as shown in the second tier 104 of the test instrument 100 (
The system layer 202 also includes a system application programming interface (API) 210. In general, an API is a set of data structures, functions, protocols, routines and tools for accessing and interacting with an application (e.g., software running on one or more of the system processing device 206 and the embedded processing device 208). An application programming interface may be language dependent or language independent. A language dependent API is available only in a particular programming language, while a language independent API is not bound to a particular language, system or process. In some examples, language independent APIs can be accessed from (e.g., have their functions called using) more than one programming language. The system API 210 includes a system device function library 212 that stores a number of functions associated with the system API 210 (e.g., Function 1 and Function 2). A function (e.g., Function 1) may, when called, cause the system processing device 206 to perform one or more operations. For example, a function (e.g., Function 1) can cause a processing device to access a register associated with an FPGA (e.g., an FPGA associated with the third tier 110). Other functions may access a power supply or temperature sensor (e.g., inside the instrument) to monitor the status of the instrument.
In some examples, a user 201 may wish to develop test logic that can be used by the test instrument 200 to test a DUT. The system layer 202 may provide a development environment that includes, or has access to, the system device function library 212. While some system layers are not typically able to provide a development environment that provides the ability for the user 201 to create test logic (e.g., because test logic is executed on the embedded processing device 208 in the testing layer 204, and functions syntax and availability may vary between layers of the test instrument 200), the techniques described herein allow the user 201 to create test logic at the system layer 202 that can be executed at the testing layer 204 to test DUTs connected to the test instrument 200 (e.g., DUTs connected to a third layer, such as the third tier 110).
In some examples, to allow for test logic creation at the system layer 202, the system layer 202 and the testing layer 204 can be provided with respective APIs that include functions that correspond to one another. For example, the embedded device API 214 can include an embedded device function library 216 that stores functions (e.g., Corresponding Function 1 and Corresponding Function 2) that correspond to functions of the system device function library (e.g., Function 1 and Function 2, respectively). Such an arrangement allows, for example, the user 201 to develop test logic at the system layer 202 that can be executed by the embedded processing device 208 associated with the testing layer 204. For example, because at least some of the functions of the embedded device function library 216 have respective counterpart functions in the system device function library, test logic developed at the system layer 202 can include functions calls that properly call the desired functions of the embedded device function library 216. As a result, test logic can be created that can be executed at least in part on the system processing device 206 and that properly calls functions of the testing layer 204 (or other layers) when necessary. For example, some functions of system device function library 212 can be wrappers to their embedded device function library 216 counterparts.
Providing similar functions at both the system layer 202 and the testing layer 204 allows developers who are unfamiliar with, for example, developing test logic at the test level 204, to develop usable test logic at the system layer 202 (e.g., in a development environment that the developer may be more familiar with). However, in some examples, some test logic or portions thereof must be developed at the testing layer 204 due to performance demands of certain test requirements, such as latency or timing variability constraints.
To facilitate the execution of test logic 316 that uses functions from the system function library 312 (e.g., and not the embedded device function library 322), the system layer 302 may use a test logic translation engine 314 to alter, translate, or otherwise modify the test logic 316 into a format that can be executed by the embedded processing device 308. In some examples, the test logic translation engine 314 includes one or more function mappings 315 that specify associations between a function of the system function library 312 and a corresponding function of the embedded device function library 322. Using the mappings 315, the test logic translation engine can modify the test logic 316 to provide altered test logic 318 that is suitable for execution on the embedded processing device 308. In some examples, the test logic translation engine 314 can use the mappings 315 to replace functions (e.g., Function 1) associated with the system function library 312 with its counterpart function in the embedded device function library 322 (e.g., Corresponding Function 1).
After the test logic translation engine 314 has generated the altered test logic 318, the system processing device 306 of the system layer 302 can provide the altered test logic 318 to the embedded processing device 308 for execution. Before the embedded processing device 308 executes the altered test logic 318, the testing layer 304 may perform one or more tasks, such as error checking, compilation, or other pre-processing operations (e.g., testing layer 304 (and specifically the embedded device function library 322) can error check the altered test logic 318). In some examples, some of these checks are of the behavior of this test logic as it runs, and some of these checks are of the altered test logic 318 binary itself. These checks can be performed, for example, when the altered test logic 318 is loaded. Furthermore, in some examples, it may be desirable to modify the altered test logic 318 prior to execution on the embedded processing device 308 (e.g., test performance requirements, such as latency or response time specifications, may require further modifications to be made to the altered test logic 318 at the testing layer 304). To facilitate further modification of the altered test logic 318 at the testing layer 304, the testing layer 304 may also include its own development environment 324 through which the user 301 may access and alter the altered test logic 318 that has been ported over from the system layer 302. In some examples, the first tier may have a larger latency and timing variability associated with it than the second tier. Furthermore, in some cases, action by the test logic can trigger a UUT response that completes faster than the first tier's timing is latent or variable. In these cases, some SW logic optimizations might not produce a measurable performance improvement in the first tier yet might produce a dramatic improvement in the second tier. In some examples, the system layer 202 (or 302) may also provide a user interface 203 (
An altered test program is generated that is executable on a second processing system (404). In some examples, the second processing system is dedicated to device testing and is programmable to run one or more test programs to test the device. The first processing system may have a first application programming interface (API) and the second processing system may have a second API, where the first API and the second API are different APIs, and the first API and the second API have at least some duplicate functions. While the test program may include one or more functions of the first API, generating the altered test program may include identifying one or more functions of the second API that correspond to the one or more functions of the first API. Generating the altered test program may also include replacing the one or more functions of the first API with the one or more corresponding functions of the second API.
The altered test program is transmitted to the second processing system. For example, after the altered test program has been generated in a form that is suitable for execution on the second processing system, the altered test program can be provided to the second processing system. The second processing system may also provide a development environment that allows the altered test program to be modified at the second processing system.
While some of the foregoing examples describe providing altered test logic to one embedded processing device of the testing layer, the system layer can provide altered test logic to multiple embedded processing devices of the testing layer. In some examples, more than one embedded processing device can be associated with one or more shared APIs. Similarly, one or more system processing devices can be associated with one or more shared APIs.
The foregoing describes performing testing using a system processing device, embedded processing devices, or programmable logic. However, testing, as described herein, may be performed using a combination of system processing device, embedded processing devices, or programmable logic. For example, each of these different elements may run on or more test programs simultaneously to test the same device or portion thereof. Likewise, these different elements may coordinate testing so that, e.g., a system processing device (e.g., 102 of
Furthermore, in some implementations, a tier of processing may be circumvented. For example, testing may occur using a system processing device (e.g., 102) and programmable logic (e.g., FPGA 111), but not an embedded processing device. In such implementations, communications between the system processing device and the programmable logic may pass through an embedded processing device or bypass the embedded processing device tier altogether.
In some implementations, there may be more than three tiers of processing devices. For example, there may be two tiers of embedded processing devices (resulting, e.g., in four tiers total). For example, a single embedded processing device may be used to coordinate testing of a single device, and different embedded processing devices (under the direction of that single embedded processing device) may be used to test different aspects or features of that single device.
In some implementations, one or more tiers of processing devices may be eliminated from the system of
In some implementations, the system processing device (e.g., 102 of
In some implementations, the programmable logic may be replaced with non-programmable logic. For example, rather than using an FPGA, one or more application-specific integrated circuits (ASICs) may be incorporated into the test instrument in place of, or in addition to, the programmable logic described herein.
The functionality described herein, or portions thereof, and its various modifications (hereinafter “the functions”), are not limited to the hardware described herein. All or part of the functions can be implemented, at least in part, via a computer program product, e.g., a computer program tangibly embodied in an information carrier, such as one or more non-transitory machine-readable media, for execution by, or to control the operation of, one or more data processing apparatus, e.g., a programmable processor, a computer, multiple computers, and/or programmable logic components.
A computer program can be written in any form of programming language, including compiled or interpreted languages, and it can be deployed in any form, including as a stand-alone program or as a module, component, subroutine, or other unit suitable for use in a computing environment. A computer program can be deployed to be executed on one computer or on multiple computers at one site or distributed across multiple sites and interconnected by a network.
Actions associated with implementing all or part of the functions can be performed by one or more programmable processors executing one or more computer programs to perform the functions All or part of the functions can be implemented as special purpose logic circuitry, e.g., an FPGA and/or an ASIC (application-specific integrated circuit).
Processors suitable for the execution of a computer program include, by way of example, both general and special purpose microprocessors, and any one or more processors of any kind of digital computer. Generally, a processor will receive instructions and data from a read-only memory or a random access memory or both. Components of a computer include a processor for executing instructions and one or more memory devices for storing instructions and data.
Components of different embodiments described herein may be combined to form other embodiments not specifically set forth above. Components may be left out of the circuitry shown in
Other embodiments not specifically described herein are also within the scope of the following claims.
Number | Name | Date | Kind |
---|---|---|---|
604448 | Wells | May 1898 | A |
588385 | Black | Aug 1898 | A |
3789360 | Clark, Jr. et al. | Jan 1974 | A |
3800090 | Matena | Mar 1974 | A |
3810120 | Huettner et al. | May 1974 | A |
3833888 | Stafford et al. | Sep 1974 | A |
3864670 | Inoue et al. | Feb 1975 | A |
3873818 | Barnard | Mar 1975 | A |
4038533 | Dummermuth et al. | Jul 1977 | A |
4042972 | Gruner et al. | Aug 1977 | A |
4195351 | Barner et al. | Mar 1980 | A |
4357703 | Van Brunt | Nov 1982 | A |
4466055 | Kinoshita et al. | Aug 1984 | A |
4481625 | Roberts et al. | Nov 1984 | A |
4496985 | Jensen et al. | Jan 1985 | A |
4509008 | DasGupta et al. | Apr 1985 | A |
4511968 | Fencsik et al. | Apr 1985 | A |
4525802 | Hackamack | Jun 1985 | A |
RE32326 | Nagel et al. | Jan 1987 | E |
4658209 | Page | Apr 1987 | A |
4775976 | Yokoyama | Oct 1988 | A |
4807147 | Halbert et al. | Feb 1989 | A |
4823363 | Yoshida | Apr 1989 | A |
4890102 | Oliver | Dec 1989 | A |
4901259 | Watkins | Feb 1990 | A |
4961053 | Krug | Oct 1990 | A |
5049814 | Walker, III et al. | Sep 1991 | A |
5061033 | Richard | Oct 1991 | A |
5072175 | Marek | Dec 1991 | A |
5091692 | Ohno et al. | Feb 1992 | A |
5177630 | Goutzoulis et al. | Jan 1993 | A |
5218684 | Hayes et al. | Jun 1993 | A |
5282166 | Ozaki | Jan 1994 | A |
5289116 | Kurita et al. | Feb 1994 | A |
5295079 | Wong et al. | Mar 1994 | A |
5339279 | Toms et al. | Aug 1994 | A |
5345109 | Mehta | Sep 1994 | A |
5404480 | Suzuki | Apr 1995 | A |
5410547 | Drain | Apr 1995 | A |
5444716 | Jarwala et al. | Aug 1995 | A |
5471524 | Colvin et al. | Nov 1995 | A |
5475624 | West | Dec 1995 | A |
5477160 | Love | Dec 1995 | A |
5490282 | Dreps et al. | Feb 1996 | A |
5493519 | Allen, III | Feb 1996 | A |
5524114 | Peng | Jun 1996 | A |
5528136 | Rogoff et al. | Jun 1996 | A |
5543707 | Yoneyama et al. | Aug 1996 | A |
5550480 | Nelson et al. | Aug 1996 | A |
5566296 | Ohmori et al. | Oct 1996 | A |
5581742 | Lin et al. | Dec 1996 | A |
5583874 | Smith et al. | Dec 1996 | A |
5583893 | Nguyen | Dec 1996 | A |
5598156 | Hush et al. | Jan 1997 | A |
5604888 | Kiani-Shabestari et al. | Feb 1997 | A |
5606567 | Agrawal et al. | Feb 1997 | A |
5614838 | Jaber et al. | Mar 1997 | A |
5633899 | Fiedler et al. | May 1997 | A |
5636163 | Furutani et al. | Jun 1997 | A |
5673276 | Jarwala et al. | Sep 1997 | A |
5675813 | Holmdahl | Oct 1997 | A |
5740086 | Komoto | Apr 1998 | A |
5778004 | Jennion et al. | Jul 1998 | A |
5781718 | Nguyen | Jul 1998 | A |
5784581 | Hannah | Jul 1998 | A |
5807767 | Stroupe | Sep 1998 | A |
5844856 | Taylor | Dec 1998 | A |
5845151 | Story et al. | Dec 1998 | A |
5859993 | Snyder | Jan 1999 | A |
5867436 | Furutani et al. | Feb 1999 | A |
5875132 | Ozaki | Feb 1999 | A |
5875198 | Satoh | Feb 1999 | A |
5883852 | Ghia et al. | Mar 1999 | A |
5887050 | Fenske et al. | Mar 1999 | A |
5889936 | Chan | Mar 1999 | A |
5896534 | Pearce et al. | Apr 1999 | A |
5920483 | Greenwood et al. | Jul 1999 | A |
5929651 | Leas et al. | Jul 1999 | A |
5930168 | Roohparvar | Jul 1999 | A |
5937154 | Tegethoff | Aug 1999 | A |
5942911 | Motika et al. | Aug 1999 | A |
5946472 | Graves et al. | Aug 1999 | A |
5951704 | Sauer et al. | Sep 1999 | A |
5959887 | Takashina et al. | Sep 1999 | A |
5959911 | Krause et al. | Sep 1999 | A |
5969986 | Wong et al. | Oct 1999 | A |
5990815 | Linder et al. | Nov 1999 | A |
5996102 | Haulin | Nov 1999 | A |
6002868 | Jenkins et al. | Dec 1999 | A |
6023428 | Tran | Feb 2000 | A |
6028439 | Arkin et al. | Feb 2000 | A |
6044481 | Kornachuk et al. | Mar 2000 | A |
6049896 | Frank et al. | Apr 2000 | A |
6064213 | Khandros et al. | May 2000 | A |
6069494 | Ishikawa | May 2000 | A |
6073193 | Yap | Jun 2000 | A |
6074904 | Spikes, Jr. et al. | Jun 2000 | A |
6075373 | Iino | Jun 2000 | A |
6084215 | Furuya et al. | Jul 2000 | A |
6128242 | Banba et al. | Oct 2000 | A |
6146970 | Witek et al. | Nov 2000 | A |
6148354 | Ban et al. | Nov 2000 | A |
6154803 | Pontius et al. | Nov 2000 | A |
6157975 | Brief et al. | Dec 2000 | A |
6189109 | Sheikh et al. | Feb 2001 | B1 |
6202103 | Vonbank et al. | Mar 2001 | B1 |
6208947 | Beffa | Mar 2001 | B1 |
6232904 | Hartmann et al. | May 2001 | B1 |
6272112 | Orita | Aug 2001 | B1 |
6304982 | Mongan et al. | Oct 2001 | B1 |
6320811 | Snyder et al. | Nov 2001 | B1 |
6320866 | Wolf et al. | Nov 2001 | B2 |
6324663 | Chambers | Nov 2001 | B1 |
6330241 | Fort | Dec 2001 | B1 |
6343260 | Chew | Jan 2002 | B1 |
6345373 | Chakradhar et al. | Feb 2002 | B1 |
6351134 | Leas et al. | Feb 2002 | B2 |
6360271 | Schuster et al. | Mar 2002 | B1 |
6363085 | Samuels | Mar 2002 | B1 |
6363506 | Karri et al. | Mar 2002 | B1 |
6370635 | Snyder | Apr 2002 | B2 |
6380753 | Iino et al. | Apr 2002 | B1 |
6393588 | Hsu et al. | May 2002 | B1 |
6400173 | Shimizu et al. | Jun 2002 | B1 |
6404218 | Le et al. | Jun 2002 | B1 |
6452411 | Miller et al. | Sep 2002 | B1 |
6483330 | Kline | Nov 2002 | B1 |
6509213 | Noble | Jan 2003 | B2 |
6515484 | Bald et al. | Feb 2003 | B1 |
6526557 | Young et al. | Feb 2003 | B1 |
6527563 | Clayton | Mar 2003 | B2 |
6531335 | Grigg | Mar 2003 | B1 |
6535831 | Hudson et al. | Mar 2003 | B1 |
6549155 | Heminger et al. | Apr 2003 | B1 |
6551844 | Eldridge et al. | Apr 2003 | B1 |
6559666 | Bernier et al. | May 2003 | B2 |
6563173 | Bolam et al. | May 2003 | B2 |
6571357 | Martin et al. | May 2003 | B1 |
6603323 | Miller et al. | Aug 2003 | B1 |
6627484 | Ang | Sep 2003 | B1 |
6627954 | Seefeldt | Sep 2003 | B1 |
6703852 | Feltner | Mar 2004 | B1 |
6704888 | Caudrelier et al. | Mar 2004 | B1 |
6724848 | Iyer | Apr 2004 | B1 |
6727723 | Shimizu et al. | Apr 2004 | B2 |
6734693 | Nakayama | May 2004 | B2 |
6735720 | Dunn et al. | May 2004 | B1 |
6753238 | Kurita | Jun 2004 | B2 |
6759865 | Gu et al. | Jul 2004 | B1 |
6774395 | Lin et al. | Aug 2004 | B1 |
6798225 | Miller | Sep 2004 | B2 |
6825052 | Eldridge et al. | Nov 2004 | B2 |
6825683 | Berndt et al. | Nov 2004 | B1 |
6847218 | Nulty et al. | Jan 2005 | B1 |
6849928 | Cha et al. | Feb 2005 | B2 |
6856150 | Sporck et al. | Feb 2005 | B2 |
6876214 | Crook et al. | Apr 2005 | B2 |
6903562 | Smith et al. | Jun 2005 | B1 |
6912778 | Ahn et al. | Jul 2005 | B2 |
6917998 | Giles | Jul 2005 | B1 |
6959257 | Larky et al. | Oct 2005 | B1 |
6975130 | Yevmenenko | Dec 2005 | B2 |
6978335 | Lee | Dec 2005 | B2 |
7036062 | Morris et al. | Apr 2006 | B2 |
7102367 | Yamagishi et al. | Sep 2006 | B2 |
7112975 | Jin et al. | Sep 2006 | B1 |
7113902 | Swoboda | Sep 2006 | B2 |
7127708 | Gomez | Oct 2006 | B2 |
7138811 | Mahoney et al. | Nov 2006 | B1 |
7154259 | Miller | Dec 2006 | B2 |
7218134 | Ho | May 2007 | B1 |
7245134 | Granicher et al. | Jul 2007 | B2 |
7307433 | Miller et al. | Dec 2007 | B2 |
7327153 | Weinraub | Feb 2008 | B2 |
7381630 | Sawyer | Jun 2008 | B2 |
7536679 | O'Connell et al. | May 2009 | B1 |
7595746 | Iorga et al. | Sep 2009 | B2 |
7733096 | Lin et al. | Jun 2010 | B2 |
7906982 | Meade et al. | Mar 2011 | B1 |
7949916 | Ang | May 2011 | B1 |
8103992 | Chan et al. | Jan 2012 | B1 |
8239590 | Wennekamp et al. | Aug 2012 | B1 |
8798741 | Ryan et al. | Aug 2014 | B2 |
9470759 | Bourassa et al. | Oct 2016 | B2 |
9759772 | Kaushansky et al. | Sep 2017 | B2 |
20020105352 | Mori et al. | Aug 2002 | A1 |
20020145437 | Sporck et al. | Oct 2002 | A1 |
20020171449 | Shimizu et al. | Nov 2002 | A1 |
20030074611 | Nachumovsky | Apr 2003 | A1 |
20030084388 | Williamson, Jr. et al. | May 2003 | A1 |
20030115517 | Rutten | Jun 2003 | A1 |
20030206535 | Shpak | Nov 2003 | A1 |
20030210031 | Miller | Nov 2003 | A1 |
20030210069 | Kikuchi et al. | Nov 2003 | A1 |
20030233208 | Uesaka et al. | Dec 2003 | A1 |
20040008024 | Miller | Jan 2004 | A1 |
20040036493 | Miller | Feb 2004 | A1 |
20040075453 | Slupsky | Apr 2004 | A1 |
20040175850 | Shimizu et al. | Sep 2004 | A1 |
20040181763 | Soltis et al. | Sep 2004 | A1 |
20050047339 | Dube et al. | Mar 2005 | A1 |
20050093571 | Suaris et al. | May 2005 | A1 |
20050110513 | Osada et al. | May 2005 | A1 |
20050129033 | Gordy et al. | Jun 2005 | A1 |
20050171722 | Fritzsche | Aug 2005 | A1 |
20050182588 | Chenoweth et al. | Aug 2005 | A1 |
20050193266 | Subramanian et al. | Sep 2005 | A1 |
20050204223 | Ong | Sep 2005 | A1 |
20050237073 | Miller et al. | Oct 2005 | A1 |
20050262412 | Mukai et al. | Nov 2005 | A1 |
20060028897 | Vernenker et al. | Feb 2006 | A1 |
20060100812 | Sturges et al. | May 2006 | A1 |
20060156288 | Jones et al. | Jul 2006 | A1 |
20060242504 | Kadota | Oct 2006 | A1 |
20060273809 | Miller et al. | Dec 2006 | A1 |
20070022323 | Loh | Jan 2007 | A1 |
20070074191 | Geisinger | Mar 2007 | A1 |
20070162729 | Ryu et al. | Jul 2007 | A1 |
20070176807 | Mattes et al. | Aug 2007 | A1 |
20070245289 | Suaris et al. | Oct 2007 | A1 |
20070261009 | Granicher et al. | Nov 2007 | A1 |
20070277154 | Badwe | Nov 2007 | A1 |
20080040641 | Blancha et al. | Feb 2008 | A1 |
20080250288 | Souef et al. | Oct 2008 | A1 |
20080274629 | Meyer | Nov 2008 | A1 |
20080278190 | Ong et al. | Nov 2008 | A1 |
20080297167 | Possa | Dec 2008 | A1 |
20090001347 | Kumar et al. | Jan 2009 | A1 |
20090024381 | Sakamoto et al. | Jan 2009 | A1 |
20090066365 | Solomon | Mar 2009 | A1 |
20090091347 | Gohel et al. | Apr 2009 | A1 |
20090101940 | Barrows et al. | Apr 2009 | A1 |
20090112548 | Conner et al. | Apr 2009 | A1 |
20090113245 | Conner | Apr 2009 | A1 |
20090119084 | Nagashima et al. | May 2009 | A1 |
20090119542 | Nagashima et al. | May 2009 | A1 |
20090128162 | Singleton et al. | May 2009 | A1 |
20090138567 | Hoover et al. | May 2009 | A1 |
20090167583 | Iorga et al. | Jul 2009 | A1 |
20090217311 | Kocyan et al. | Aug 2009 | A1 |
20090299677 | Torres | Dec 2009 | A1 |
20100058274 | Pike et al. | Mar 2010 | A1 |
20100146338 | Schalick et al. | Jun 2010 | A1 |
20100164527 | Weyh et al. | Jul 2010 | A1 |
20100174955 | Carnevale et al. | Jul 2010 | A1 |
20100180169 | La Fever et al. | Jul 2010 | A1 |
20100287424 | Kwon | Nov 2010 | A1 |
20100313071 | Conner | Dec 2010 | A1 |
20110067040 | Nagahara et al. | Mar 2011 | A1 |
20110291693 | Ong et al. | Dec 2011 | A1 |
20120198279 | Schroeder | Aug 2012 | A1 |
20130031276 | Rathi et al. | Jan 2013 | A1 |
20130070640 | Chapman | Mar 2013 | A1 |
20130110446 | Bourassa et al. | May 2013 | A1 |
20130111505 | Frick et al. | May 2013 | A1 |
Number | Date | Country |
---|---|---|
1544632 | Aug 2008 | EP |
2387723 | Sep 2014 | EP |
H04-122141 | Apr 1992 | JP |
H04-122141 | Apr 1992 | JP |
2004-199536 | Jul 2004 | JP |
2004-199536 | Jul 2004 | JP |
2009-031933 | Feb 2009 | JP |
2009-031933 | Feb 2009 | JP |
2009-116878 | May 2009 | JP |
2009-116878 | May 2009 | JP |
2011-502265 | Jan 2011 | JP |
2011-502265 | Jan 2011 | JP |
10-2007-0020247 | Feb 2007 | KR |
10-2009-0028569 | Mar 2009 | KR |
10-2009-0028569 | Mar 2009 | KR |
2009-0028569 | Mar 2009 | KR |
10-2009-0107579 | Oct 2009 | KR |
2009-0107579 | Oct 2009 | KR |
10-1567830 | Nov 2015 | KR |
9736230 | Oct 1997 | WO |
WO-9736230 | Oct 1997 | WO |
2010054669 | May 2010 | WO |
2010054669 | May 2010 | WO |
Entry |
---|
Authorized officer Sung Cheal Byun, International Search Report and Written Opinion dated Jan. 30, 2013 in international application No. PCT/US2012/056250, 9 pgs. |
International Preliminary Report on Patentability dated May 8, 2014 in corresponding international application No. PCT/US2012/056250, 6 pgs. |
Search Report dated Feb. 24, 2015 in European application No. 12843264.8, 6 pgs. |
Search Report dated Feb. 24, 2015 in European application No. 12843399.2, 7 pgs. |
Search Report dated Jan. 29, 2015 in European application No. 12842878.6, 8 pgs. |
International Search Report dated Mar. 12, 2013 in International Application No. PCT/US2012/056247, 10 pgs. |
International Preliminary Report on Patentability dated May 8, 2014 in International Application No. PCT/US2012/056247, 7 pgs. |
Full Machine Translation of KR10-2009-0107579, 14 pgs. |
Full Machine Translation of JP2009-031933, 24 pgs. |
Japanese Office Action for JP2014-538797, 4 pages snd English Translation, 4 pages (dated Mar. 29, 2016). |
EPO Communication pursuant to Article 94(3) EPC dated Sep. 16, 2015 in EP application No. 12 842 878.6, 6 pgs. |
File History of U.S. Appl. No. 10/828,755 (U.S. Pat. No. 7,307,433), 230 pages (Retrieved Mar. 16, 2017). |
File History of U.S. Appl. No. 11/711,382 (U.S. Pat. No. 7,906,982), 497 pages (Retrieved Mar. 16, 2017). |
File History of U.S. Appl. No. 11/964,254 (U.S. Pat. No. 7,595,746), 148 pages (Retrieved Mar. 16, 2017). |
File History of U.S. Appl. No. 13/284,378 (U.S. Pat. No. 9,470,479), 404 pages (Retrieved Mar. 16, 2017). |
File History of U.S. Appl. No. 13/284,483, filed Oct. 28, 2011, 552 pages (Retrieved Oct. 12, 2018). |
International Search Report for PCT/US1997/04032, 3 pages (dated Jul. 11, 1997). |
Teledyne LeCroy, Protocol Analyzer, Products and Overview, 7 pages (2017). URL: http://teledynelecroy.com/protocolanalyzer [Retrieved Mar. 20, 2017]. |
Written Opinion for PCT/US2012/056245, 9 pages (dated Mar. 18, 2013). |
Written Opinion for PCT/US2012/056247, 10 pages (dated Mar. 18, 2013). |
Intellectual Property India Examination Report for IN Application No. 2494/CHENP/2014, 7 pages (dated Mar. 13, 2019). |
Korean Office Action for KR10-2014-7011055 and English Translation, 8 pages (dated Apr. 25, 2019). |
J.L. Anderson Jr., “Test application program interface for instrumentation”, In: Autotestcon, IEEE, Sep. 21, 2006, pp. 272-276, See abstract; p. 273, paragraph 3: and figure 1. |
International Preliminary Report on Patentability dated Apr. 29, 2014 in International Application No. PCT/US2012/056250, 6 pgs. |
Bengtsson, S. and Engstrom, O., Interface Charge Control of Directly Bonded Silicon Structures, Journal of Applied Physics, 66: 1231-1239 (1989). |
Catalyst Enterprises Inc., TA700 / 800 Series PCI-X, PCI, CPCI, PMC BUS Analyzer-Exerciser User's Manual, 268 pages (2005). |
File History of U.S. Appl. No. 10/828,755 (now U.S. Pat. No. 7,307,433), 230 pages (Retrieved Mar. 16, 2017). |
File History of U.S. Appl. No. 11/711,382 (now U.S. Pat. No. 7,906,982), 497 pages (Retrieved Mar. 16, 2017). |
File History of U.S. Appl. No. 11/964,254 (now U.S. Pat. No. 7,595,746), 148 pages (Retrieved Mar. 16, 2017). |
File History of U.S. Appl. No. 13/284,378 (now U.S. Pat. No. 9,470,479), 404 pages (Retrieved Mar. 16, 2017). |
File History of U.S. Appl. No. 13/284,491, 543 pages (Retrieved Mar. 16, 2017). |
Free Online Dictionary of Computing, “DB-25”, 2 pages (Dec. 8, 1996). URL: http://foldoc.org/DB-25 [Retrieved Mar. 20, 2017]. |
Free Online Dictionary of Computing, “emulation”, 2 pages (May 22, 2003). URL: http://foldoc.org/emulation [Retrieved Mar. 20, 2017]. |
Free Online Dictionary of Computing, “host”, 2 pages (Feb. 16, 1995). URL: http: //foldoc.org/host [Retrieved Mar. 20, 2017]. |
International Search Report for PCT/US2003/014844, 3 pages (dated Sep. 18, 2003). |
Krstic, A. et al., Testing High Speed VLSI Device Using Slower Testers, VLSI Test Symposium, 17th IEEE Proceedings, 6 pages (Apr. 25-29, 1999). |
Teledyne LeCroy, Protocol Analyzer, Products and Overview, 7 pages (2017). URL: http://teledynelecroy.com/proctoanalyzer [Retrieved Mar. 20, 2017]. |
USB, Frequently Asked Questions, 3 pages. URL:http://www.usb.org/about/faq/[ Retrieved Mar. 20, 2017]. |
International search report and written opinion dated Mar. 18, 2013 in international application No. PCT/US2012/056247, 10 pgs. |
International Preliminary Report on Patentability dated May 8, 2014 in corresponding international application No. PCT/US2012/056247, 7 pgs. |
Majid et al., Stretching the limits of FPGA SerDes for enhanced ATE performance. School of Electrical and Computer Engineering Georgia Institute of Technology, Atlanta, GA, USA (2010), 6 pgs. |
International Search Report dated Mar. 18, 2013 in International Application No. PCT/US2012/056245, 9 pgs. |
International Preliminary Report on Patentability dated May 8, 2014 in International Application No. PCT/US2012/056245, 6 pgs. |
Number | Date | Country | |
---|---|---|---|
20130111505 A1 | May 2013 | US |