Feb 1, 2014 · The goal of this work is to increase the applicability of GPUs beyond CUDA/OpenCL to implicitly data-parallel applications written in C/C++ ...
Paragon's use of cooperative execution between the GPU and CPU increases the performance of the overall system in the presence of conflicts since the CPU is not ...
The goal of this work is to increase the applicability of GPUs beyond CUDA/OpenCL to implicitly data-parallel applications written in C/C++ using ...
Leveraging GPUs Using Cooperative Loop Speculation by Mehrzad Samadi, Amir Hormati, Janghaeng Lee, Scott Mahlke published in Transactions on.
We present speculative parallelization techniques that can exploit parallelism in loops even in ... Leveraging GPUs Using Cooperative Loop Speculation. February ...
Jul 2, 2024 · Leveraging GPUs using cooperative loop speculation. Graphics processing units, or GPUs, provide TFLOPs of additional performance potential in ...
Mar 3, 2012 · Paragon utilizes the GPU in an opportunistic way for loops that are categorized as possibly-data- parallel by its loop classification phase.
Missing: Leveraging | Show results with:Leveraging
Sep 6, 2017 · (2) A proof of concept implementation for utilizing the. GPUs and all CPU cores cooperatively to perform loop computation in a large multi- ...
Paragon: Collaborative speculative loop execution on gpu and cpu. M ... 2012. Leveraging GPUs using cooperative loop speculation. M Samadi, A Hormati ...
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CUDA launches grids of thread blocks or cooperative thread arrays (referred to as CTAs for the remainder of the paper) on the GPU. This abstraction gives the ...
Missing: speculation. | Show results with:speculation.