high performance computing on graphics processing units: hgpu.org

hgpu.org » Performance

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

Accelerating Compute-Intensive Applications with GPUs and FPGAs

Shuai Che, Jie Li, Jeremy W. Sheaffer, Kevin Skadron, John Lach

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Tags: Architecture, Computer science, CUDA, FPGA, nVidia, nVidia GeForce 8800 GTX, Package, Performance

December 13, 2010 by hgpu

Fast scan algorithms on graphics processors

Yuri Dotsenko, Naga K. Govindaraju, Peter P. Sloan, Charles Boyd, John Manferdelli

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Tags: Algorithms, Computer science, CUDA, Image processing, nVidia, nVidia GeForce 8800 GTX, Performance

December 11, 2010 by hgpu

Linear genetic programming GPGPU on Microsoft’s Xbox 360

G. Wilson, W. Banzhaf

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Tags: Computer science, Performance, Xbox 360

December 11, 2010 by hgpu

Towards acceleration of fault simulation using graphics processing units

Kanupriya Gulati, Sunil P. Khatri

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Performance

December 11, 2010 by hgpu

Value Prediction and Speculative Execution on GPU

Shaoshan Liu, Christine Eisenbeis, Jean-Luc Gaudiot

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Performance

December 11, 2010 by hgpu

BLAS Comparison on FPGA, CPU and GPU

Srinidhi Kestur, John D. Davis, Oliver Williams

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Tags: BLAS, Computer science, CUBLAS, CUDA, Energy-efficient computing, FPGA, Linear Algebra, nVidia, nVidia GeForce 9500 GT, Performance, Tesla C1060

December 6, 2010 by hgpu

Dynamic Warp Formation and Scheduling for Efficient GPU Control Flow

Wilson W. L. Fung, Ivan Sham, George Yuan, Tor M. Aamodt

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Tags: Computer science, Hardware, Performance

December 4, 2010 by hgpu

StarPU: A Unified Platform for Task Scheduling on Heterogeneous Multicore Architectures

Cedric Augonnet, Samuel Thibault, Raymond Namyst, Pierre-Andre Wacrenier

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Tags: Computer science, CUDA, Distributed computing, nVidia, nVidia Quadro FX 4600, Package, Performance

November 28, 2010 by hgpu

Understanding software approaches for GPGPU reliability

Martin Dimitrov, Mike Mantor, Huiyang Zhou

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Tags: ATI, ATI Stream, Brook, Computer science, CUDA, Hardware, nVidia, nVidia GeForce 8800 GTX, Performance

November 28, 2010 by hgpu

42 TFlops hierarchical N-body simulations on GPUs with applications in both astrophysics and turbulence

Tsuyoshi Hamada, Tetsu Narumi, Rio Yokota, Kenji Yasuoka, Keigo Nitadori, Makoto Taiji

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Tags: Astrophysics, CUDA, Fast multipole method, N-body simulation, nVidia, nVidia GeForce 8800 GTS, Performance

November 28, 2010 by hgpu

Accuracy and performance of graphics processors: A Quantum Monte Carlo application case study

Jeremy S. Meredith, Gonzalo Alvarez, Thomas A. Maier, Thomas C. Schulthess, Jeffrey S. Vetter

Tags: Computer science, Monte Carlo simulation, Performance

November 27, 2010 by hgpu

PTXBench: an open-source environment for kernel agents with architecture-specific CUDA/PTX

PTXBench: Benchmark and Adapt LLMs for GPU Kernel Optimization with Architecture-specific PTX

RealisticTritonBench: A Benchmark for Triton-Kernel Generation in Real-World AI Frameworks

Harness Engineering for LLM-Driven GPU Kernel Generation

CANNBot Skills

Compiler-Grounded Hierarchical Diagnosis for LLM-Based Triton Kernel Optimization

NVIDIA Object Oriented Agents

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents

UniCoder: Unified Visual-to-Code Generation via Symbolic Rewards and Reference-Guided Code Optimization

CuFuzz: An API-Knowledge-Graph Coverage-Driven Fuzzing Framework for CUDA Libraries

See all packages

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high performance computing on graphics processing units: hgpu.org

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

Accelerating Compute-Intensive Applications with GPUs and FPGAs

Fast scan algorithms on graphics processors

Linear genetic programming GPGPU on Microsoft’s Xbox 360

Towards acceleration of fault simulation using graphics processing units

Value Prediction and Speculative Execution on GPU

BLAS Comparison on FPGA, CPU and GPU

Dynamic Warp Formation and Scheduling for Efficient GPU Control Flow

StarPU: A Unified Platform for Task Scheduling on Heterogeneous Multicore Architectures

Understanding software approaches for GPGPU reliability

42 TFlops hierarchical N-body simulations on GPUs with applications in both astrophysics and turbulence

Accuracy and performance of graphics processors: A Quantum Monte Carlo application case study

Recent source codes

PTXBench: an open-source environment for kernel agents with architecture-specific CUDA/PTX

RealisticTritonBench: A Benchmark for Triton-Kernel Generation in Real-World AI Frameworks

TensorCorePTX: PTX Tensor Core GEMM Exploration

FlashPDE: Triton-fused PDE stencil kernels for physics-informed neural networks

PortLBM: Portable GPU-accelerated Lattice Boltzmann Method Simulations

Harness Engineering for LLM-Driven GPU Kernel Generation

CANNBot Skills

NVIDIA Object Oriented Agents

UniCoder: Unified Visual-to-Code Generation via Symbolic Rewards and Reference-Guided Code Optimization

CuFuzz: An API-Knowledge-Graph Coverage-Driven Fuzzing Framework for CUDA Libraries

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