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Breaking the bottleneck in AI clusters with parallel photonic integration. [PDF]
Nat CommunNick TA +7 more
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Proceedings of the IEEE, 2008 The graphics processing unit (GPU) has become an integral part oftoday's mainstream computing systems. Over the past six years, therehas been a marked increase in the performance and capabilities ofGPUs. The modern GPU is not only a powerful graphics engine but also ahighly-parallel programmable processor featuring peak arithmetic andmemory bandwidth ...
John D. Owens +2 more
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GPU-to-GPU and Host-to-Host Multipattern String Matching on a GPU
IEEE Transactions on Computers, 2013We develop GPU adaptations of the Aho-Corasick and multipattern Boyer-Moore string matching algorithms for the two cases GPU-to-GPU (input to the algorithms is initially in GPU memory and the output is left in GPU memory) and host-to-host (input and output are in the memory of the host CPU). For the GPU-to-GPU case, we consider several refinements to a
Sartaj Sahni, Xinyan Zha
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gem5-Gpu: A Heterogeneous CPU-GPU Simulator [PDF]
IEEE Computer Architecture Letters, 2015 gem5-gpu is a new simulator that models tightly integrated CPU-GPU systems. It builds on gem5, a modular full-system CPU simulator, and GPGPU-Sim, a detailed GPGPU simulator. gem5-gpu routes most memory accesses through Ruby, which is a highly configurable memory system in gem5.
Mark D. Hill, Marc S Orr
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Meshless Voronoi on the GPU [PDF]
ACM Transactions on Graphics, 2018 We propose a GPU algorithm that computes a 3 D Voronoi diagram. Our algorithm is tailored for applications that solely make use of the geometry of the Voronoi cells, such as Lloyd's relaxation used in meshing, or some numerical schemes used in fluid simulations and astrophysics. Since these applications only require
Dmitry Sokolov +2 more
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DO-GPU: Domain Optimizable Soft GPUs
2021 31st International Conference on Field-Programmable Logic and Applications (FPL), 2021”Soft” GPUs are overlays that implement GPGPU-like data parallel processor architectures in FPGA logic to make FPGAs as software-programmable as ”hard” GPGPUs. Unlike hard GPUs, soft GPU architectures can be specialized to further improve efficiency by leveraging FPGA’s flexibility.
Rui Ma 0021 +7 more
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