Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 6 of 6 for “"multicore CPU"”.
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Highly parallelized control programming methodologies using multicore CPU and FPGA for highly dynamic multi-DoF mobile robots, applied to the MIT Cheetah
… parallel real-time computing technologies: multicore CPU, the Field Programmable Gate Array (FPGA), and distributed local processors. This approach was implemented in the fast running experiments of the MIT Cheetah. In such a highly dynamic robot, the required control bandwidth is …
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Weld : fast data-parallel computation on modern hardware
… vectorization and loop blocking, as well as a multicore CPU backend. Finally,Weld's runtime can to optimize across library functions used in the same program, enabling further speedups that are not possible with today's disjoint libraries. In this thesis, we describe the Weld IL and then turn …
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Optimizing Lempel-Ziv Factorization for the GPU Architecture
… we are able to outperform the fastest serial CPU implementations by up to 24x and perform comparatively to a parallel multicore CPU implementation. To achieve these speeds, our implementation outputted LZ factorizations that were on average only 0.01 percent greater than the optimal solution …
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Compiler-Hardware Co-Design for Pervasive Parallelization
… costs while maintaining load balance on large multicore systems. This dissertation presents three systems that embody these four principles. First, T4 introduces automatic program transformations that exploit a novel hardware architecture to parallelize sequential programs. As a result, T4 …
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PARAMETERS THAT AFFECT PARALLEL PROCESSING FOR COMPUTATIONAL ELECTROMAGNETIC SIMULATION CODES ON HIGH PERFORMANCE COMPUTING CLUSTERS
<p>What is the impact of multicore and associated advanced technologies on computational software for science? Most researchers and students have multicore laptops or desktops for their research and they need computing power to run computational software packages. Computing power was initially …
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Architecture-Aware Mapping and Optimization on Heterogeneous Computing Systems
… We discuss optimization strategies for multicore CPUs as well as for the two popular GPU platforms, i.e., GPUs from AMD and NVIDIA. Optimization strategies for NVIDIA GPUs have been well studied but when applied on AMD GPUs, they fail to measurably improve performance because of the …