1. Field of Invention
The techniques described herein relate to enabling the restoration of execution of a computer process from a point of interruption.
2. Discussion of the Related Art
Program crashes are known to occur in which an application or other computer program terminates unexpectedly or ceases to operate as designed. Some programs save information from time to time so that, when a crash occurs, the amount of data loss can be limited. For example, some word processing programs automatically save drafts of a document at various times as a user works on the document. If the word processing program crashes, the user may be able to restore the document by loading saved data from the most recent point at which the document was automatically saved by the word processing program.
Some operating systems provide the capability of receiving information from a program as it is running and can restore execution of the program from a saved state. However, in such techniques, cooperation from the operating system is required to allow the execution of the program to be restored.
As discussed above, some existing techniques for restoring execution of a program from a point of interruption require cooperation from the operating system. Such techniques require the operating system to provide an interface suitable for saving application data and restoring the state of operation of an application when execution is interrupted. However, not all operating systems provide such capabilities. It would be advantageous to provide the capability of restoring execution of a program at the application level without requiring cooperation from the operating system.
Some applications have been specifically designed and programmed to include the capability of saving program data and restoring program data when execution is interrupted. However, it would be time consuming for an application programmer to have to design and program an application to provide such capabilities when a new application is written or an existing application is modified.
The techniques described herein provide a flexible framework at the program level for enabling the checkpointing and restoration of program execution. The Applicants have developed techniques for restoring program execution from the point at which execution was interrupted without the need for cooperation from the computer's operating system. These techniques can be implemented at the program level regardless of the operating system environment in which the program is running. In some embodiments, code for implementing these techniques can be incorporated into existing program code using an automated tool that modifies the program and adds instructions for enabling restoring interrupted program execution. Thus, a programmer developing an application does not need to design or program the application code to include such features, as code for enabling restoring interrupted program execution can be automatically incorporated using the automated tool.
Some embodiments relate to a method, comprising: receiving first computer readable instructions configured to control a microprocessor to perform one or more operations; using a microprocessor, generating second computer readable instructions based on the first computer readable instructions, the second computer readable instructions being configured to perform the one or more operations and to resume execution of a function from a checkpoint by calling the function; loading data for use by the function, the data having been saved at the checkpoint during a prior execution of the function; and skipping a portion of the function that was executed during the prior execution of the function before reaching the checkpoint. Some embodiments relate to a computer readable storage medium having stored thereon instructions which, when executed, perform the above-described method.
Some embodiments relate to a system comprising: a computer readable storage medium having stored thereon computer readable instructions configured to resume execution of function from a checkpoint by calling the function; loading data for use by the function, the data having been saved at the checkpoint during a prior execution of the function; skipping a portion of the function that was executed during the prior execution of the function before reaching the checkpoint; saving data used by the function; and tracking a program stack of a program comprising the function. The system also includes at least one microprocessor configured to execute the computer readable instructions.
The foregoing is a non-limiting summary of some embodiments.
In the drawings, each identical or nearly identical component that is illustrated in various figures is represented by a like reference character. For purposes of clarity, not every component may be labeled in every drawing. The drawings are not necessarily drawn to scale, with emphasis instead being placed on illustrating various aspects of the invention.
As discussed above, the techniques described herein enable restoring program execution from a checkpoint when execution is interrupted, without the need for cooperation from the computer's operating system. Such techniques can protect against instability in the underlying hardware or software, and can enable restoring program execution after an operating system crash, power failure, or other failure in the system. These techniques can be implemented by modifying existing code using an automated tool without requiring a programmer to program the application specifically to include this functionality. In some embodiments, a compiler or other program translation tool can re-configure existing code to provide the capability of saving and restoring execution of the program after an error occurs.
Advantageously, these techniques can be robust in a multithreaded, multicore environment and for an environment in which a program runs on multiple machines. When execution is interrupted and is unable to continue, programs can continue execution on a different processor or a different machine, even on a machine that is running a different operating system. These techniques can be used advantageously in a cloud computing environment in which multiple machines are available to execute a program. A detailed discussion of an exemplary embodiment is provided hereafter.
Commonly-used program languages provide the capability of defining functions that may be called during execution of a program. Code defines key aspects of the function, such as the inputs that the function accepts, the operations performed by the function, and the data returned by the function.
For example, the following code defines functions F and G. Function F receives integers a and b as input. Function F initializes a local variable x to be an integer that is set equal to the product a·b and initializes variable y to be an integer that is set equal to the return value of function G. Function F returns an integer having the value x+y. Function G receives integers x and b as inputs which correspond to local variables a and b within function G, respectively. Function G initializes a local variable x to be an integer that is set equal to a+b. Function G returns an integer equal to the value of x.
When a program is run, function F can be called which then calls function G. If the program crashes or execution otherwise is interrupted during the execution of function F and/or G, the progress made in executing functions F and/or G can be lost. To continue execution, the program needs to be re-started and function F needs to be started again from the beginning, and then function G needs to be called again. Although the amount of processing power needed to execute exemplary functions F and G may not be large, it should be appreciated that, when executing a complex program, significant data may be lost and significant processing may need to be performed a second time to reach the point at which the execution of functions F and/or G was interrupted. The amount of lost work can be particularly significant when executing complex programming tasks such as modeling and simulation, for example.
In some embodiments, additional code can be inserted into a program to enable storing the state of operation of the program at various points, called “checkpoints.” Code can be included for tracking the program stack by saving an indication as to which functions are running. Code can also be included for storing local variables used by the functions and for saving an indication of the line within a function that has been reached in execution. The addition of these types of code can enable re-building the program by calling one or more functions that were in operation at the checkpoint, loading local variables that were in use by the function(s), and skipping the portion of the function(s) already executed prior to interruption.
Helper code 102 can include code 112 that defines a data structure for saving the local variables and input arguments of function F. Helper code 102 can also include code 114 that defines a save function for saving data for function F and code 116 that defines a load function for loading data for function F from storage. The save function appends the saved variables to a checkpoint file. The load function loads the variables from the current point in the checkpoint file and advances the file pointer. Although shown as source code for purposes of illustrating the concept, it should be appreciated that helper code 102 and any other code described herein may be implemented as object code, or any other suitable type of code. An example of helper code 102 suitable for defining a data structure and providing save and load functions is shown below.
As shown in
As shown in
l.x=a*b;
As discussed above with respect to function F, the variable x is set equal to the product a·b. In functional code 106, the same multiplication operation is performed as in function F, but the code is modified so that the result is stored in the data structure defined by code 112 to facilitate re-loading the local variable if the function needs to be re-built.
As shown in
At this point, additional functional code 106 may be included, such as the following, which is executed to calculate the sum of variables x and y, as in function F above.
int temp=l.x+l.y;
As shown in
Sample implementations of Push( ) and Pop( ) are shown below, by way of example.
The following code defines an example of a “Checkpoint” class which has the implementations of LoadLocals( ) and SaveLocals( ) which are in turn used by the Load( ) and Save( )methods of the “Locals” objects.
If the program decides to use the checkpoint opportunity to save the program state, this information is saved in step 204. For example, the program may use the save function defined by code 114 in helper code 102. If the program decides not to use the checkpoint opportunity, execution of the program continues in step 206. Execution of the program continues until the next checkpoint is reached, at which point the method returns to the next checkpoint opportunity at step 203. Method 200 can continue until the program is terminated.
III. Example of Restoring Program Execution from a Checkpoint
IV. Generating Code Enabling Saving State and Restoring Program Execution from a Checkpoint
The techniques described herein can provide fault tolerance and failover schemes which can be very significant for programs with long execution times. This is due to the increased cost of lost work as the size of the computation grows. These techniques can also be very useful for distributed programs that make use of large computing resources, as the likelihood of failure is higher when more hardware is used to perform the computation. Trends in new computing hardware have shifted from a paradigm in which each successive generation of hardware is exponentially faster to one in which each successive generation has exponentially more computational cores. The techniques described herein can be used to enable performing large amounts of computational work using multithreaded programs running on multiple computational cores, or a cluster of machines. For example, such techniques can be used in a cloud computing environment in which multiple machines and/or multiple cores are involved in processing program data.
An advantage of the techniques described herein is that a program can be started on one processor/machine and then processing can continue on another processor/machine when a crash or other failure occurs. If one processor or machine fails, processing can resume on another processor or machine with minimal interruption. Since the techniques described herein do not require the cooperation of the operating system, processing could continue on a processor/machine that is running a different operating system, in some embodiments. The program can run on a different operating system if a suitable version is compiled on the new architecture and the file format for checkpoints is portable across architectures.
Having thus described several aspects of at least one embodiment of this invention, it is to be appreciated that various alterations, modifications, and improvements will readily occur to those skilled in the art.
Such alterations, modifications, and improvements are intended to be part of this disclosure, and are intended to be within the spirit and scope of the invention. Accordingly, the foregoing description and drawings are by way of example only.
The above-described embodiments of the present invention can be implemented in any of numerous ways. For example, the embodiments may be implemented using hardware, software or a combination thereof. When implemented in software, the software code can be executed on any suitable processor or collection of processors, whether provided in a single computer or distributed among multiple computers. Such processors may be implemented as integrated circuits, with one or more processors in an integrated circuit component. Though, a processor may be implemented using circuitry in any suitable format.
Further, it should be appreciated that a computer may be embodied in any of a number of forms, such as a rack-mounted computer, a desktop computer, a laptop computer, or a tablet computer. Additionally, a computer may be embedded in a device not generally regarded as a computer but with suitable processing capabilities, including a Personal Digital Assistant (PDA), a smart phone or any other suitable portable or fixed electronic device.
Also, a computer may have one or more input and output devices. These devices can be used, among other things, to present a user interface. Examples of output devices that can be used to provide a user interface include printers or display screens for visual presentation of output and speakers or other sound generating devices for audible presentation of output. Examples of input devices that can be used for a user interface include keyboards, and pointing devices, such as mice, touch pads, and digitizing tablets. As another example, a computer may receive input information through speech recognition or in other audible format.
Such computers may be interconnected by one or more networks in any suitable form, including as a local area network or a wide area network, such as an enterprise network or the Internet. Such networks may be based on any suitable technology and may operate according to any suitable protocol and may include wireless networks, wired networks or fiber optic networks.
Also, the various methods or processes outlined herein may be coded as software that is executable on one or more processors that employ any one of a variety of operating systems or platforms. Additionally, such software may be written using any of a number of suitable programming languages and/or programming or scripting tools, and also may be compiled as executable machine language code or intermediate code that is executed on a framework or virtual machine.
In this respect, the invention may be embodied as a computer readable storage medium (or multiple computer readable media) (e.g., a computer memory, one or more floppy discs, compact discs (CD), optical discs, digital video disks (DVD), magnetic tapes, flash memories, circuit configurations in Field Programmable Gate Arrays or other semiconductor devices, or other non-transitory, tangible computer storage medium) encoded with one or more programs that, when executed on one or more computers or other processors, perform methods that implement various embodiments of the invention. The computer readable storage medium or media can be transportable, such that the program or programs stored thereon can be loaded onto one or more different computers or other processors to implement various aspects of the present invention as discussed above. As used herein, the term “non-transitory computer-readable storage medium” encompasses only a computer-readable medium that can be considered to be a manufacture (i.e., article of manufacture) or a machine. Alternatively or additionally, the invention may be embodied as a computer readable medium other than a computer-readable storage medium, such as a propagating signal.
The terms “program” or “software” are used herein in a generic sense to refer to any type of computer code or set of computer-executable instructions that can be employed to program a computer or other processor to implement various aspects of the present invention as discussed above. Additionally, it should be appreciated that according to one aspect of this embodiment, one or more computer programs that when executed perform methods of the present invention need not reside on a single computer or processor, but may be distributed in a modular fashion amongst a number of different computers or processors to implement various aspects of the present invention.
Computer-executable instructions may be in many forms, such as program modules, executed by one or more computers or other devices. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. Typically the functionality of the program modules may be combined or distributed as desired in various embodiments.
Various aspects of the present invention may be used alone, in combination, or in a variety of arrangements not specifically discussed in the embodiments described in the foregoing and is therefore not limited in its application to the details and arrangement of components set forth in the foregoing description or illustrated in the drawings. For example, aspects described in one embodiment may be combined in any manner with aspects described in other embodiments.
Also, the invention may be embodied as a method, of which an example has been provided. The acts performed as part of the method may be ordered in any suitable way. Accordingly, embodiments may be constructed in which acts are performed in an order different than illustrated, which may include performing some acts simultaneously, even though shown as sequential acts in illustrative embodiments.
Use of ordinal terms such as “first,” “second,” “third,” etc., in the claims to modify a claim element does not by itself connote any priority, precedence, or order of one claim element over another or the temporal order in which acts of a method are performed, but are used merely as labels to distinguish one claim element having a certain name from another element having a same name (but for use of the ordinal term) to distinguish the claim elements.
Also, the phraseology and terminology used herein is for the purpose of description and should not be regarded as limiting. The use of “including,” “comprising,” or “having,” “containing,” “involving,” and variations thereof herein, is meant to encompass the items listed thereafter and equivalents thereof as well as additional items.