high performance computing on graphics processing units: hgpu.org

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Exploiting Uniform Vector Instructions for GPGPU Performance, Energy Efficiency, and Opportunistic Reliability Enhancement

Ping Xiang, Yi Yang, Mike Mantor, Norm Rubin, Lisa R. Hsu, Huiyang Zhou

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Tags: Computer science, GPGPU-sim, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Performance

May 19, 2013 by hgpu

Parallel Zonal Summations of Large-Scale Species Occurrence Data on Hybrid CPU-GPU Systems

Jianting Zhang, Simin You

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Tags: CUDA, Data parallelism, Earth and Space Sciences, Filtering, Geoscience, nVidia, nVidia Quadro FX 6000, Performance

May 19, 2013 by hgpu

Performance Evaluation of CPU-GPU communication Depending on the Characteristic of Co-Located Workloads

Dongyou Seo, Shin-gyu Kim, Hyeonsang Eom, Heon Y. Yeom

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Tags: CUDA, nVidia, nVidia GeForce GTX 580, Performance

May 17, 2013 by hgpu

GPUWattch: Enabling Energy Optimizations in GPGPUs

Jingwen Leng, Tayler Hetherington, Ahmed ElTantawy, Syed Gilani, Nam Sung Kim, Tor M. Aamodt, Vijay Janapa Reddi

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Tags: Computer science, CUDA, GPGPU-sim, nVidia, nVidia GeForce GTX 480, nVidia Quadro FX 5600, Performance

May 4, 2013 by hgpu

Impact of Warp Formation on GPU Performance

Hong Jun Choi, Dong Oh Son, Cheol Hong Kim

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Tags: Computer science, GPGPU-sim, nVidia, Performance

May 3, 2013 by hgpu

OpenMP performance analysis for many-core platforms with non-uniform memory access

Pablo Gonzalez de Aledo Marugan, Javier Gonzalez Bayon, Pablo Sanchez Espeso, Juan Casal Martin

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Tags: Computer science, Heterogeneous systems, OpenCL, OpenMP, Performance

May 2, 2013 by hgpu

Parallel For Loops on Heterogeneous Resources

Frederick Edward Weber

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Tags: ATI, ATI Radeon HD 7970, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, OpenCL, Performance, Thesis

May 1, 2013 by hgpu

Improving Numerical Accuracy for Non-Negative Matrix Multiplication on GPUs using Recursive Algorithms

Matthew Badin, Paolo D'Alberto, Lubomir Bic, Michael Dillencourt, Alexandru Nicolau

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Tags: Algorithms, BLAS, Computer science, CUDA, Matrix multiplication, nVidia, Performance, Tesla C2070

April 30, 2013 by hgpu

Split tiling for GPUs: automatic parallelization using trapezoidal tiles

Tobias Grosser, Albert Cohen, Paul H J Kelly, J. Ramanujam, P. Sadayappan, Sven Verdoolaege

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Source codes

Tags: Code generation, Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 470, nVidia Quadro NVS 5200 M, Package, Performance

April 29, 2013 by hgpu

Orchestrated Scheduling and Prefetching for GPGPUs

Adwait Jog, Onur Kayiran, Asit K. Mishra, Mahmut T. Kandemir, Onur Mutlu, Ravishankar Iyer, Chita R. Das

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Tags: Computer science, CUDA, GPGPU-sim, nVidia, nVidia GeForce GTX 285, Performance, Prefetch

April 27, 2013 by hgpu

Valar: A Benchmark Suite to Study the Dynamic Behavior of Heterogeneous Systems

Perhaad Mistry, Yash Ukidave, Dana Schaa, David Kaeli

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Tags: APU, ATI, ATI Radeon HD 7850, ATI Radeon HD 7970, Benchmarking, Computer science, Computer vision, Heterogeneous systems, OpenCL, Performance

April 22, 2013 by hgpu

One OpenCL to Rule Them All?

Romain Dolbeau, Francois Bodin, Guillaume Colin de Verdiere

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Tags: ATI, ATI Radeon HD 7970, Computer science, Intel, Intel Phi, nVidia, OpenACC, OpenCL, Performance, Portability, Tesla K20

April 21, 2013 by hgpu

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Accelerating a Linear Programming Algorithm on AMD GPUs

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Towards Efficient and Practical GPU Multitasking in the Era of LLM

Bandicoot: C++ library for GPU accelerated linear algebra

Bandicoot: A Templated C++ Library for GPU Linear Algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

The Fused Kernel Library: A C++ API to Develop Highly-Efficient GPU Libraries

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

Block: Balancing Load in LLM Serving with Context, Knowledge and Predictive Scheduling

SIGMo: Scalable Isomorphism Graph Matching on GPUs

SIGMo: High-Throughput Batched Subgraph Isomorphism on GPUs for Molecular Matching

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

DGEMM without FP64 Arithmetic – using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

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high performance computing on graphics processing units: hgpu.org

Exploiting Uniform Vector Instructions for GPGPU Performance, Energy Efficiency, and Opportunistic Reliability Enhancement

Parallel Zonal Summations of Large-Scale Species Occurrence Data on Hybrid CPU-GPU Systems

Performance Evaluation of CPU-GPU communication Depending on the Characteristic of Co-Located Workloads

GPUWattch: Enabling Energy Optimizations in GPGPUs

Impact of Warp Formation on GPU Performance

OpenMP performance analysis for many-core platforms with non-uniform memory access

Parallel For Loops on Heterogeneous Resources

Improving Numerical Accuracy for Non-Negative Matrix Multiplication on GPUs using Recursive Algorithms

Split tiling for GPUs: automatic parallelization using trapezoidal tiles

Orchestrated Scheduling and Prefetching for GPGPUs

Valar: A Benchmark Suite to Study the Dynamic Behavior of Heterogeneous Systems

One OpenCL to Rule Them All?

Recent source codes

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Bandicoot: C++ library for GPU accelerated linear algebra

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

SIGMo: Scalable Isomorphism Graph Matching on GPUs

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

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