high performance computing on graphics processing units: hgpu.org

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Highly efficient mapping of the Smith-Waterman algorithm on CUDA-compatible GPUs

K. Dohi, K. Benkridt, C. Ling, T. Hamada, Y. Shibata

Tags: Bioinformatics, Biology, CUDA, nVidia, Sequence alignment, Smith-Waterman algorithm

May 31, 2011 by hgpu

Connected component identification and cluster update on GPU

Martin Weigel

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Tags: Computational Physics, CUDA, High Energy Physics - Lattice, Ising model, Monte Carlo simulation, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Physics, Statistical Mechanics, Tesla M2070

May 31, 2011 by hgpu

A Compute Unified System Architecture for Graphics Clusters Incorporating Data Locality

Christoph Muller, Steffen Frey, Magnus Strengert, Carsten Dachsbacher, Thomas Ertl

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Tags: Computer science, CUDA, GPU cluster, nVidia, nVidia GeForce 8800 GT, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, nVidia Quadro FX 5600, Performance

May 30, 2011 by hgpu

Real-Time Rendering and Manipulation of Large Terrains

Shiben Bhattacharjee, Suryakant Patidar, P. J. Narayanan

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Tags: Computer science, GLSL, nVidia, nVidia GeForce 8800 GTX, OpenGL, Real-time graphics, Rendering

May 30, 2011 by hgpu

Fast Parallel Markov Clustering in Bioinformatics Using Massively Parallel Graphics Processing Unit Computing

Alhadi Bustamam, Kevin Burrage, Nicholas A. Hamilton

Tags: Bioinformatics, Biology, CUDA, MPI, nVidia, Sparse matrix

May 30, 2011 by hgpu

High performance comparison-based sorting algorithm on many-core GPUs

Xiaochun Ye, Dongrui Fan, Wei Lin, Nan Yuan, Paolo Ienne

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 9800 GTX, Performance, Sorting

May 30, 2011 by hgpu

Performance Acceleration of Kernel Polynomial Method Applying Graphics Processing Units

Shixun Zhang, Shinichi Yamagiwa, Masahiko Okumura, Seiji Yunoki

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Tags: Computational Physics, Condensed matter, CUDA, nVidia, Performance, Physics, Tesla C2050

May 30, 2011 by hgpu

GPU-based parallel-beam and cone-beam forward- and backprojection using CUDA

Michael Knaup, Sven Steckmann, Marc Kachelriess

Tags: CUDA, Image processing, Image reconstruction, Medicine, nVidia, Tomography

May 29, 2011 by hgpu

Performance comparison of GPU and FPGA architectures for the SVM training problem

Markos Papadonikolakis, Christos-Savvas Bouganis, George Constantinides

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Tags: Computer science, CUDA, FPGA, Machine learning, nVidia, nVidia GeForce 8500 GT, Performance

May 29, 2011 by hgpu

Fast scale invariant textured synthesis with GPU acceleration

Claire Gallagher, Francis Kelly, Anil Kokaram

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Tags: Algorithms, Image generation, Image processing, nVidia, nVidia GeForce 6800 Ultra

May 29, 2011 by hgpu

GPU-Based Ray Tracing of Splats

Rhushabh Goradia, Sriram Kashyap, Parag Chaudhuri, Sharat Chandran

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce GTX 275, Raytracing, Rendering

May 29, 2011 by hgpu

Efficent multiple pass, multiple output algorithms on the GPU

Jay L. T. Cornwall

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce 6800 GT, OpenGL, Performance, Programming techniques

May 29, 2011 by hgpu

KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation

Introduction to Computer Vision

ACT: Accelerator Compiler Toolkit

Automatically Generating ML Compiler Backends from Tensor Accelerator ISA Descriptions

pytest-gpu-proof: A Simple Pytest Extension for Local GPU Code Testing

pytest-gpu-proof: Enabling Cloud-CPU Continuous Integration for GPU Code with Local GPU Attestation

Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures

AutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines

nvsass-disassembler

Automated Instruction Encoding Synthesis for Modern GPU ISA Compression

PrefixBench-H100: Characterizing Prefix Reuse and Time-to-First-Token in H100 LLM Serving

FP4 FlashAttention forward, backward, and TorchTitan reproduction code

Hardware-Aware FP4 FlashAttention-4

EinsummableV3 - graph-based computation with tensor operations support

Every Kernel Is a Join: Automatic Multi-GPU Parallelism for AI Computations in Einsummable

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high performance computing on graphics processing units: hgpu.org

Highly efficient mapping of the Smith-Waterman algorithm on CUDA-compatible GPUs

Connected component identification and cluster update on GPU

A Compute Unified System Architecture for Graphics Clusters Incorporating Data Locality

Real-Time Rendering and Manipulation of Large Terrains

Fast Parallel Markov Clustering in Bioinformatics Using Massively Parallel Graphics Processing Unit Computing

High performance comparison-based sorting algorithm on many-core GPUs

Performance Acceleration of Kernel Polynomial Method Applying Graphics Processing Units

GPU-based parallel-beam and cone-beam forward- and backprojection using CUDA

Performance comparison of GPU and FPGA architectures for the SVM training problem

Fast scale invariant textured synthesis with GPU acceleration

GPU-Based Ray Tracing of Splats

Efficent multiple pass, multiple output algorithms on the GPU

Recent source codes

KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation

Introduction to Computer Vision

ACT: Accelerator Compiler Toolkit

pytest-gpu-proof: A Simple Pytest Extension for Local GPU Code Testing

Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures

AutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines

nvsass-disassembler

PrefixBench-H100: Characterizing Prefix Reuse and Time-to-First-Token in H100 LLM Serving

FP4 FlashAttention forward, backward, and TorchTitan reproduction code

EinsummableV3 - graph-based computation with tensor operations support

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