high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Computer science

Stencil computation optimization and auto-tuning on state-of-the-art multicore architectures

Kaushik Datta, Mark Murphy, Vasily Volkov, Samuel Williams, Jonathan Carter, Leonid Oliker, David Patterson, John Shalf, Katherine Yelick

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Tags: Cell processor, Computer science, CUDA, Finite difference, nVidia, nVidia GeForce GTX 280, Performance

December 14, 2010 by hgpu

High-performance and Hardware-aware Computing: Proceedings of the First International Workshop on New Frontiers in High-performance and Hardware-aware Computing (HipHaC’08)

Rainer Buchty, Jan-Philipp Weiss (ed.)

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Tags: Architecture, Cell processor, Computer science, CUDA, nVidia, OpenGL

December 14, 2010 by hgpu

Embracing Heterogeneity: Parallel Programming for Changing Hardware

Michael D. Linderman, James Balfour, Teresa H. Meng, William J. Dally

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Tags: Architecture, Computer science, Programming techniques

December 13, 2010 by hgpu

Prototyping flexible touch screen devices using collocated haptic-graphic elastic-object deformation on the GPU

Arun Yoganandan, P. Pat Banerjee, Cristian Luciano, Silvio Rizzi

Tags: 3D Graphics and Realism, Algorithms, Computer science

December 13, 2010 by hgpu

A generic library for structured real-time computations: GPU implementation applied to retinal and cortical vision processes

Jean-Charles Quinton

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Source codes

Tags: ATI, ATI Mobility Radeon 9700, Computer science, Computer vision, Image processing, OpenGL, Package

December 13, 2010 by hgpu

Wavefront raycasting using larger filter kernels for on-the-fly GPU gradient reconstruction

Baoquan Liu, Gordon Clapworthy, Feng Dong

Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, Rendering

December 13, 2010 by hgpu

GPU-Based Ray-Casting of Spherical Functions Applied to High Angular Resolution Diffusion Imaging

Markus van Almsick, Tim H. J. M. Peeters, Vesna Prckovska, Anna Villanova, Bart ter Haar Romeny

Tags: 3D Graphics and Realism, Computer science, Rendering

December 13, 2010 by hgpu

Real-time anomaly detection in hyperspectral images using multivariate normal mixture models and GPU processing

Yuliya Tarabalka, Trym Haavardsholm, Ingebjorg Kasen, Torbjorn Skauli

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Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce 8800 Ultra

December 13, 2010 by hgpu

Fast and automatic object pose estimation for range images on the GPU

In Park, Marcel Germann, Michael Breitenstein, Hanspeter Pfister

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Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 280

December 13, 2010 by hgpu

Vortex methods for incompressible flow simulations on the GPU

Diego Rossinelli, Petros Koumoutsakos

Tags: 3D Graphics and Realism, Computer science, Fluid simulation

December 13, 2010 by hgpu

A GPU Tile-Load-Map architecture for terrain rendering: theory and applications

Yacine Amara, Xavier Marsault

Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, Rendering

December 13, 2010 by hgpu

Visual-model-based, real-time 3D pose tracking for autonomous navigation: methodology and experiments

Hans de Ruiter, Beno Benhabib

Tags: Artificial intelligence, Computer science, Computer vision, Pattern recognition, Video tracking

December 13, 2010 by hgpu

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

Evaluating CUDA Tile for AI Workloads on Hopper and Blackwell GPUs

Agentic Code Optimization via Compiler-LLM Cooperation

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

DVM: Real-Time Kernel Generation for Dynamic AI Models

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

AutoKernel: Autonomous GPU Kernel Optimization via Iterative Agent-Driven Search

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

LLM.Q: Quantized LLM training in pure CUDA/C++

LLMQ: Efficient Lower-Precision LLM Training for Consumer GPUs

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

True 4-Bit Quantized CNN Training on CPU

True 4-Bit Quantized Convolutional Neural Network Training on CPU: Achieving Full-Precision Parity

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

Hunting CUDA Bugs at Scale with cuFuzz

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Stencil computation optimization and auto-tuning on state-of-the-art multicore architectures

High-performance and Hardware-aware Computing: Proceedings of the First International Workshop on New Frontiers in High-performance and Hardware-aware Computing (HipHaC’08)

Embracing Heterogeneity: Parallel Programming for Changing Hardware

Prototyping flexible touch screen devices using collocated haptic-graphic elastic-object deformation on the GPU

A generic library for structured real-time computations: GPU implementation applied to retinal and cortical vision processes

Wavefront raycasting using larger filter kernels for on-the-fly GPU gradient reconstruction

GPU-Based Ray-Casting of Spherical Functions Applied to High Angular Resolution Diffusion Imaging

Real-time anomaly detection in hyperspectral images using multivariate normal mixture models and GPU processing

Fast and automatic object pose estimation for range images on the GPU

Vortex methods for incompressible flow simulations on the GPU

A GPU Tile-Load-Map architecture for terrain rendering: theory and applications

Visual-model-based, real-time 3D pose tracking for autonomous navigation: methodology and experiments

Recent source codes

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

Agentic Code Optimization via Compiler-LLM Cooperation

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

LLM.Q: Quantized LLM training in pure CUDA/C++

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

True 4-Bit Quantized CNN Training on CPU

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

Most viewed papers (last 30 days)