Cocke, “A Catalogue of Optimizing Transformations,” in Design and Optimization of Compilers, R. Rustin (Ed), Prentice-Hall, Englewood Cliffs, NJ., 1972, 1–30. Google Scholar A. Aho, J. Johnson, and J. Ullman, “Code Generation for Expressions with Common Subexpressions,” J. ACM 24...
Paradigm Shift: Design Considerations For Parallel Programming More Support For Parallelism In The Next Version Of Visual Studio Concurrency Hazards: Solving Problems In Your Multithreaded Code ASP.NET AJAX 4.0: New AJAX Support For Data-Driven Web Apps Build Concurrent Apps in Visual Studio Using Eas...
DesignExperimentationLanguagesGPGPUnested parallelismcompilerlocal memoryParallel programs consist of series of code sections with different thread-level parallelism (TLP). As a result, it is rather common that a thread in a parallel program, such as a GPU kernel in CUDA programs, still contains both...
forcing a lot of work to re-design the classes to be more parallel-friendly. It may be easier to create a new object-oriented program with concurrency in mind, but even then the design decisions need to be well documented so that future programmers don’t inadvertently make changes that com...
在本小节中,我们将会探究关于多发射(mutiple-issue)和预测中的设计平衡(design trade-off)和挑战的五个问题 ,并以寄存器重命名技术(register renaming)作为开胃菜 。这种寄存器重命名技术有时在一些场景下能够对重排缓冲区进行替代。 The Challenge of More Issues per Clock单时钟周期创造更多的发射所面临的挑战 如果...
In addition to the Roofline Analysis for kernels, you can: Get specific, actionable recommendations to design code that runs optimally on GPUs. See the CPU and GPU code performance side-by-side with a unified dashboard. Discover GPU application performance characterization, such as bandwidth ...
In other words, "correct by design" is an almost non-existent property; correctness is either demonstrated automatically, or it is absent. While nobody has to make the simple errors we discussed in our toy examples, analogous errors will necessarily creep into large parallel programs. ...
However, in terms ofhardware implementation, GPU registers are actuallymore like memory than CPU registers.[Disclaimer: NVIDIA doesn't disclose implementation details, and I'mgrosslyoversimplifying, ignoring things like data forwarding, multiple access ports, and synthesizable vs custom design]. 16K of...
In addition to the Roofline Analysis for kernels, you can: Get specific, actionable recommendations to design code that runs optimally on GPUs. See the CPU and GPU code performance side-by-side with a unified dashboard. Discover GPU application performance characterization, such as bandwidth ...
But a new tool chain, from compiler to debug, plus the task of finding all those hidden instruction-set dependencies in your legacy code, can make this move genuinely frightening. And changing SoC vendors will have system-level hardware implications too. Or you could try a different approach:...