high performance computing on graphics processing units: hgpu.org

hgpu.org » Performance

Demystifying GPU microarchitecture through microbenchmarking

Henry Wong, Misel-Myrto Papadopoulou, Maryam Sadooghi-Alvandi, Andreas Moshovos

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Tags: Architecture, Computer science, nVidia, nVidia GeForce GTX 280, Performance

December 21, 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

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

CFAL-bench

Comparing Parallel Functional Array Languages: Programming and Performance

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

See all packages

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high performance computing on graphics processing units: hgpu.org

Demystifying GPU microarchitecture through microbenchmarking

Shader Performance Analysis on a Modern GPU Architecture

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

Recent source codes

CFAL-bench

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

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