high performance computing on graphics processing units: hgpu.org

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Implementation of 802.11n on 128-CORE Processor

A. Akapyev, V. Krylov

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Signal processing

December 19, 2010 by hgpu

GPU Acceleration of Particle-based Volume Rendering using CUDA

Ding Zhongming, Naohisa Sakamoto, Yasuo Ebara, Koji Koyamada

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, Rendering

December 19, 2010 by hgpu

GPU-based parallelization for fast circuit optimization

Yifang Liu, Jiang Hu

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Tags: Computer science, CUDA, Hardware, nVidia, nVidia GeForce 9800 GT, Programming techniques

December 19, 2010 by hgpu

Particle-based volume rendering

Naohisa Sakamoto, Jorji Nonaka, Koji Koyamada, S. Tanaka

Tags: Computer science, Rendering

December 19, 2010 by hgpu

Hardware Accelerated Skin Deformation for Animated Crowds

Golam Ashraf and Junyu Zhou

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Tags: 3D Graphics and Realism, Computer science, DirectX, HLSL, nVidia, nVidia GeForce 6600, Rendering

December 19, 2010 by hgpu

Speed Records for NTRU

Jens Hermans, Frederik Vercauteren, Bart Preneel

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Security

December 19, 2010 by hgpu

Large-scale FFT on GPU clusters

Yifeng Chen, Xiang Cui, Hong Mei

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Tags: Algorithms, Computer science, CUDA, FFT, nVidia, nVidia GeForce GTX 285, Programming techniques, Tesla C1060

December 18, 2010 by hgpu

Shader Performance Analysis on a Modern GPU Architecture

Victor Moya, Carlos Gonzalez, Jordi Roca, Agustin Fernandez, Roger Espasa

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Tags: 3D Graphics and Realism, ATI, Computer science, OpenGL, Performance, Rendering

December 18, 2010 by hgpu

GPU clusters for high-performance computing

Volodymyr V. Kindratenko, Jeremy J. Enos, Guochun Shi, Michael T. Showerman, Galen W. Arnold, John E. Stone, James C. Phillips, Wen-mei Hwu

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Tags: Computer science, CUDA, GPU cluster, nVidia, Tesla S1070

December 18, 2010 by hgpu

Accelerating Template-Based Matching on the GPU for AR Applications

Yannick Allusse, Raphael Grasset, Mark Billinghurst

Tags: Computer science, Computer vision

December 18, 2010 by hgpu

Accelerating SQL Database Operations on a GPU with CUDA

Peter Bakkum, Kevin Skadron

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Tags: Computer science, CUDA, Databases, nVidia, Tesla C1060

December 18, 2010 by hgpu

Accelerating K-Means on the Graphics Processor via CUDA

Mario Zechner, Michael Granitzer

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Tags: Computer science, CUDA, Data mining, nVidia, nVidia GeForce 9600 GT

December 18, 2010 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

Implementation of 802.11n on 128-CORE Processor

GPU Acceleration of Particle-based Volume Rendering using CUDA

GPU-based parallelization for fast circuit optimization

Particle-based volume rendering

Hardware Accelerated Skin Deformation for Animated Crowds

Speed Records for NTRU

Large-scale FFT on GPU clusters

Shader Performance Analysis on a Modern GPU Architecture

GPU clusters for high-performance computing

Accelerating Template-Based Matching on the GPU for AR Applications

Accelerating SQL Database Operations on a GPU with CUDA

Accelerating K-Means on the Graphics Processor via CUDA

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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