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1. 发明申请

US20090259828A1 EXECUTION OF RETARGETTED GRAPHICS PROCESSOR ACCELERATED CODE BY A GENERAL PURPOSE PROCESSOR 有权
标题翻译：一般用途处理器执行缩略图处理程序加速代码
公开(公告)号：US20090259828A1
公开(公告)日：2009-10-15
申请号：US12408559
申请日：2009-03-20
申请人： Vinod Grover , Bastiaan Joannes Matheus Aarts , Michael Murphy , Jayant B. Kolhe , John Bryan Pormann , Douglas Saylor
发明人： Vinod Grover , Bastiaan Joannes Matheus Aarts , Michael Murphy , Jayant B. Kolhe , John Bryan Pormann , Douglas Saylor
IPC分类号： G06F9/45 , G06F9/30
CPC分类号： G06F9/45537 , G06F8/45 , G06F8/456 , G06F9/4843 , G06F11/261 , G06F12/0253
摘要： One embodiment of the present invention sets forth a technique for translating application programs written using a parallel programming model for execution on multi-core graphics processing unit (GPU) for execution by general purpose central processing unit (CPU). Portions of the application program that rely on specific features of the multi-core GPU are converted by a translator for execution by a general purpose CPU. The application program is partitioned into regions of synchronization independent instructions. The instructions are classified as convergent or divergent and divergent memory references that are shared between regions are replicated. Thread loops are inserted to ensure correct sharing of memory between various threads during execution by the general purpose CPU.
摘要翻译：本发明的一个实施例提出了一种用于翻译使用并行编程模型编写的应用程序的技术，用于在多核图形处理单元（GPU）上执行以由通用中央处理单元（CPU）执行。依赖于多核GPU的特定功能的应用程序的部分由翻译器转换，以供通用CPU执行。应用程序被划分为独立于同步的指令的区域。指令被分类为在区域之间共享的收敛或发散和不同的存储器引用。插入线程循环以确保在通用CPU执行期间在不同线程之间正确共享内存。

2. 发明授权

US09448779B2 Execution of retargetted graphics processor accelerated code by a general purpose processor 有权
标题翻译：重定向图形处理器的执行由通用处理器加速代码
公开(公告)号：US09448779B2
公开(公告)日：2016-09-20
申请号：US12408559
申请日：2009-03-20
申请人： Vinod Grover , Bastiaan Joannes Matheus Aarts , Michael Murphy , Jayant B. Kolhe , John Bryan Pormann , Douglas Saylor
发明人： Vinod Grover , Bastiaan Joannes Matheus Aarts , Michael Murphy , Jayant B. Kolhe , John Bryan Pormann , Douglas Saylor
IPC分类号： G06F9/45
CPC分类号： G06F9/45537 , G06F8/45 , G06F8/456 , G06F9/4843 , G06F11/261 , G06F12/0253
摘要： One embodiment of the present invention sets forth a technique for translating application programs written using a parallel programming model for execution on multi-core graphics processing unit (GPU) for execution by general purpose central processing unit (CPU). Portions of the application program that rely on specific features of the multi-core GPU are converted by a translator for execution by a general purpose CPU. The application program is partitioned into regions of synchronization independent instructions. The instructions are classified as convergent or divergent and divergent memory references that are shared between regions are replicated. Thread loops are inserted to ensure correct sharing of memory between various threads during execution by the general purpose CPU.
摘要翻译：本发明的一个实施例提出了一种用于翻译使用并行编程模型编写的应用程序的技术，用于在多核图形处理单元（GPU）上执行以由通用中央处理单元（CPU）执行。依赖于多核GPU的特定功能的应用程序的部分由翻译器转换，以供通用CPU执行。应用程序被划分为独立于同步的指令的区域。指令被分类为在区域之间共享的收敛或发散和不同的存储器引用。插入线程循环以确保在通用CPU执行期间在不同线程之间正确共享内存。

3. 发明授权

US08612732B2 Retargetting an application program for execution by a general purpose processor 有权
标题翻译：重新定位应用程序以供通用处理器执行
公开(公告)号：US08612732B2
公开(公告)日：2013-12-17
申请号：US12407711
申请日：2009-03-19
申请人： Vinod Grover , Bastiaan Joannes Matheus Aarts , Michael Murphy , Boris Beylin , Jayant B. Kolhe , Douglas Saylor
发明人： Vinod Grover , Bastiaan Joannes Matheus Aarts , Michael Murphy , Boris Beylin , Jayant B. Kolhe , Douglas Saylor
IPC分类号： G06F9/38
CPC分类号： G06F9/45537 , G06F8/45 , G06F8/456 , G06F9/4843 , G06F11/261 , G06F12/0253
摘要： One embodiment of the present invention sets forth a technique for translating application programs written using a parallel programming model for execution on multi-core graphics processing unit (GPU) for execution by general purpose central processing unit (CPU). Portions of the application program that rely on specific features of the multi-core GPU are converted by a translator for execution by a general purpose CPU. The application program is partitioned into regions of synchronization independent instructions. The instructions are classified as convergent or divergent and divergent memory references that are shared between regions are replicated. Thread loops are inserted to ensure correct sharing of memory between various threads during execution by the general purpose CPU.
摘要翻译：本发明的一个实施例提出了一种用于翻译使用并行编程模型编写的应用程序的技术，用于在多核图形处理单元（GPU）上执行以由通用中央处理单元（CPU）执行。依赖于多核GPU的特定功能的应用程序的部分由翻译器转换，以供通用CPU执行。应用程序被划分为独立于同步的指令的区域。指令被分类为在区域之间共享的收敛或发散和不同的存储器引用。插入线程循环以确保在通用CPU执行期间在不同线程之间正确共享内存。

4. 发明授权

US08984498B2 Variance analysis for translating CUDA code for execution by a general purpose processor 有权
标题翻译：用于翻译CUDA代码以供通用处理器执行的方差分析
公开(公告)号：US08984498B2
公开(公告)日：2015-03-17
申请号：US12415090
申请日：2009-03-31
申请人： Vinod Grover , Bastiaan Joannes Matheus Aarts , Michael Murphy
发明人： Vinod Grover , Bastiaan Joannes Matheus Aarts , Michael Murphy
IPC分类号： G06F9/45
CPC分类号： G06F9/45537 , G06F8/45 , G06F8/456 , G06F9/4843 , G06F11/261 , G06F12/0253
摘要： One embodiment of the present invention sets forth a technique for translating application programs written using a parallel programming model for execution on multi-core graphics processing unit (GPU) for execution by general purpose central processing unit (CPU). Portions of the application program that rely on specific features of the multi-core GPU are converted by a translator for execution by a general purpose CPU. The application program is partitioned into regions of synchronization independent instructions. The instructions are classified as convergent or divergent and divergent memory references that are shared between regions are replicated. Thread loops are inserted to ensure correct sharing of memory between various threads during execution by the general purpose CPU.
摘要翻译：本发明的一个实施例提出了一种用于翻译使用并行编程模型编写的应用程序的技术，用于在多核图形处理单元（GPU）上执行以由通用中央处理单元（CPU）执行。依赖于多核GPU的特定功能的应用程序的部分由翻译器转换，以供通用CPU执行。应用程序被划分为独立于同步的指令的区域。指令被分类为在区域之间共享的收敛或发散和不同的存储器引用。插入线程循环以确保在通用CPU执行期间在不同线程之间正确共享内存。

5. 发明申请

US20090259997A1 VARIANCE ANALYSIS FOR TRANSLATING CUDA CODE FOR EXECUTION BY A GENERAL PURPOSE PROCESSOR 有权
标题翻译：用于转换CUDA代码的变体分析用于由一般用途处理器执行
公开(公告)号：US20090259997A1
公开(公告)日：2009-10-15
申请号：US12415090
申请日：2009-03-31
申请人： Vinod GROVER , Bastiaan Joannes Matheus Aarts , Michael Murphy
发明人： Vinod GROVER , Bastiaan Joannes Matheus Aarts , Michael Murphy
IPC分类号： G06F9/44
CPC分类号： G06F9/45537 , G06F8/45 , G06F8/456 , G06F9/4843 , G06F11/261 , G06F12/0253
摘要： One embodiment of the present invention sets forth a technique for translating application programs written using a parallel programming model for execution on multi-core graphics processing unit (GPU) for execution by general purpose central processing unit (CPU). Portions of the application program that rely on specific features of the multi-core GPU are converted by a translator for execution by a general purpose CPU. The application program is partitioned into regions of synchronization independent instructions. The instructions are classified as convergent or divergent and divergent memory references that are shared between regions are replicated. Thread loops are inserted to ensure correct sharing of memory between various threads during execution by the general purpose CPU.
摘要翻译：本发明的一个实施例提出了一种用于翻译使用并行编程模型编写的应用程序的技术，用于在多核图形处理单元（GPU）上执行以由通用中央处理单元（CPU）执行。依赖于多核GPU的特定功能的应用程序的部分由翻译器转换，以供通用CPU执行。应用程序被划分为独立于同步的指令的区域。指令被分类为在区域之间共享的收敛或发散和不同的存储器引用。插入线程循环以确保在通用CPU执行期间在不同线程之间正确共享内存。

6. 发明授权

US08776030B2 Partitioning CUDA code for execution by a general purpose processor 有权
标题翻译：将CUDA代码分区以供通用处理器执行
公开(公告)号：US08776030B2
公开(公告)日：2014-07-08
申请号：US12415075
申请日：2009-03-31
申请人： Vinod Grover , Bastiaan Joannes Matheus Aarts , Michael Murphy
发明人： Vinod Grover , Bastiaan Joannes Matheus Aarts , Michael Murphy
IPC分类号： G06F9/44
CPC分类号： G06F8/456
摘要： One embodiment of the present invention sets forth a technique for translating application programs written using a parallel programming model for execution on multi-core graphics processing unit (GPU) for execution by general purpose central processing unit (CPU). Portions of the application program that rely on specific features of the multi-core GPU are converted by a translator for execution by a general purpose CPU. The application program is partitioned into regions of synchronization independent instructions. The instructions are classified as convergent or divergent and divergent memory references that are shared between regions are replicated. Thread loops are inserted to ensure correct sharing of memory between various threads during execution by the general purpose CPU.
摘要翻译：本发明的一个实施例提出了一种用于翻译使用并行编程模型编写的应用程序的技术，用于在多核图形处理单元（GPU）上执行以由通用中央处理单元（CPU）执行。依赖于多核GPU的特定功能的应用程序的部分由翻译器转换，以供通用CPU执行。应用程序被划分为独立于同步的指令的区域。指令被分类为在区域之间共享的收敛或发散和不同的存储器引用。插入线程循环以确保在通用CPU执行期间在不同线程之间正确共享内存。

7. 发明授权

US08572588B2 Thread-local memory reference promotion for translating CUDA code for execution by a general purpose processor 有权
标题翻译：用于翻译CUDA代码以供通用处理器执行的线程本地内存引用升级
公开(公告)号：US08572588B2
公开(公告)日：2013-10-29
申请号：US12415118
申请日：2009-03-31
申请人： Vinod Grover , Bastiaan Joannes Matheus Aarts , Michael Murphy
发明人： Vinod Grover , Bastiaan Joannes Matheus Aarts , Michael Murphy
IPC分类号： G06F9/45 , G06F9/30
CPC分类号： G06F9/45537 , G06F8/45 , G06F8/456 , G06F9/4843 , G06F11/261 , G06F12/0253
摘要： One embodiment of the present invention sets forth a technique for translating application programs written using a parallel programming model for execution on multi-core graphics processing unit (GPU) for execution by general purpose central processing unit (CPU). Portions of the application program that rely on specific features of the multi-core GPU are converted by a translator for execution by a general purpose CPU. The application program is partitioned into regions of synchronization independent instructions. The instructions are classified as convergent or divergent and divergent memory references that are shared between regions are replicated. Thread loops are inserted to ensure correct sharing of memory between various threads during execution by the general purpose CPU.
摘要翻译：本发明的一个实施例提出了一种用于翻译使用并行编程模型编写的应用程序的技术，用于在多核图形处理单元（GPU）上执行以由通用中央处理单元（CPU）执行。依赖于多核GPU的特定功能的应用程序的部分由翻译器转换，以供通用CPU执行。应用程序被划分为独立于同步的指令的区域。指令被分类为在区域之间共享的收敛或发散和不同的存储器引用。插入线程循环以确保在通用CPU执行期间在不同线程之间正确共享内存。

8. 发明申请

US20090259996A1 PARTITIONING CUDA CODE FOR EXECUTION BY A GENERAL PURPOSE PROCESSOR 有权
标题翻译：分配CUDA代码由一般用途处理者执行
公开(公告)号：US20090259996A1
公开(公告)日：2009-10-15
申请号：US12415075
申请日：2009-03-31
申请人： Vinod GROVER , Bastiaan Joannes Matheus Aarts , Michael Murphy
发明人： Vinod GROVER , Bastiaan Joannes Matheus Aarts , Michael Murphy
IPC分类号： G06F9/44
CPC分类号： G06F8/456
摘要： One embodiment of the present invention sets forth a technique for translating application programs written using a parallel programming model for execution on multi-core graphics processing unit (GPU) for execution by general purpose central processing unit (CPU). Portions of the application program that rely on specific features of the multi-core GPU are converted by a translator for execution by a general purpose CPU. The application program is partitioned into regions of synchronization independent instructions. The instructions are classified as convergent or divergent and divergent memory references that are shared between regions are replicated. Thread loops are inserted to ensure correct sharing of memory between various threads during execution by the general purpose CPU.
摘要翻译：本发明的一个实施例提出了一种用于翻译使用并行编程模型编写的应用程序的技术，用于在多核图形处理单元（GPU）上执行以由通用中央处理单元（CPU）执行。依赖于多核GPU的特定功能的应用程序的部分由翻译器转换，以供通用CPU执行。应用程序被划分为独立于同步的指令的区域。指令被分类为在区域之间共享的收敛或发散和不同的存储器引用。插入线程循环以确保在通用CPU执行期间在不同线程之间正确共享内存。

9. 发明申请

US20090259829A1 THREAD-LOCAL MEMORY REFERENCE PROMOTION FOR TRANSLATING CUDA CODE FOR EXECUTION BY A GENERAL PURPOSE PROCESSOR 有权
标题翻译：用于转换CUDA代码用于执行一般用途处理器的本地内部参考促销
公开(公告)号：US20090259829A1
公开(公告)日：2009-10-15
申请号：US12415118
申请日：2009-03-31
申请人： Vinod GROVER , Bastiaan Joannes Matheus Aarts , Michael Murphy
发明人： Vinod GROVER , Bastiaan Joannes Matheus Aarts , Michael Murphy
IPC分类号： G06F9/30
CPC分类号： G06F9/45537 , G06F8/45 , G06F8/456 , G06F9/4843 , G06F11/261 , G06F12/0253
摘要： One embodiment of the present invention sets forth a technique for translating application programs written using a parallel programming model for execution on multi-core graphics processing unit (GPU) for execution by general purpose central processing unit (CPU). Portions of the application program that rely on specific features of the multi-core GPU are converted by a translator for execution by a general purpose CPU. The application program is partitioned into regions of synchronization independent instructions. The instructions are classified as convergent or divergent and divergent memory references that are shared between regions are replicated. Thread loops are inserted to ensure correct sharing of memory between various threads during execution by the general purpose CPU.
摘要翻译：本发明的一个实施例提出了一种用于翻译使用并行编程模型编写的应用程序的技术，用于在多核图形处理单元（GPU）上执行以由通用中央处理单元（CPU）执行。依赖于多核GPU的特定功能的应用程序的部分由翻译器转换，以供通用CPU执行。应用程序被划分为独立于同步的指令的区域。指令被分类为在区域之间共享的收敛或发散和不同的存储器引用。插入线程循环以确保在通用CPU执行期间在不同线程之间正确共享内存。

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