high performance computing on graphics processing units: hgpu.org

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The GPU on irregular computing: performance issues and contributions

Manuel Ujaldon, Joel Saltz

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Tags: Computer science, nVidia, nVidia GeForce 6800, OpenGL, Performance, Sparse matrix

May 27, 2011 by hgpu

Implementation and Performance Comparison of the Motion Compensation Kernel of the AVS Video Decoder on FPGA, GPU and Multicore Processors

M. Owaida, N. Bellas, C.D. Antonopoulos, K. Daloukas, Ch. Antoniadis, K. Krommydas, G. Tsoumblekas

Tags: FPGA, Image processing, Motion compensation, Performance

May 26, 2011 by hgpu

Speculative Execution on GPU: An Exploratory Study

Shaoshan Liu, Christine Eisenbeis, Jean-Luc Gaudiot

Tags: Computer science, Performance, Programming techniques

May 25, 2011 by hgpu

Performance Analysis of a Hybrid MPI/CUDA Implementation of the NAS-LU Benchmark

S.J. Pennycook, S.D. Hammond, S.A. Jarvis, G.R. Mudalige

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Tags: Benchmarking, Computer science, CUDA, MPI, nVidia, Performance, Tesla C1060, Tesla C2050

May 25, 2011 by hgpu

Analyzing throughput of GPGPUs exploiting within-die core-to-core frequency variation

Jungseob Lee, Paritosh Pratap Ajgaonkar, Nam Sung Kim

Tags: Computer science, Hardware Architecture, Performance

May 21, 2011 by hgpu

Image processing applications on a low power highly parallel SIMD architecture

A. Fijany, F. Hosseini

Tags: Algorithms, ASIC, Computer vision, FPGA, Image processing, Performance

May 21, 2011 by hgpu

From Sparse Matrix to Optimal GPU CUDA Sparse Matrix Vector Product Implementation

Ahmed H. El Zein, Alistair P. Rendell

Tags: Computer science, CUDA, Linear Algebra, nVidia, Performance, Sparse matrix

May 20, 2011 by hgpu

Profiling General Purpose GPU Applications

Bruno Coutinho, George Teodoro, Rafael Sachetto, Dorgival Guedes, Renato Ferreira

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Performance, Programming techniques

May 17, 2011 by hgpu

GPU powered artificial immune system for visual applications

K. Lackner, G. Cserey

Tags: Algorithms, Artificial intelligence, Image processing, Performance

May 16, 2011 by hgpu

Performance and power consumption investigation for execution of integer operations on CPU and GPU processors for multimedia applications

A. Iovanovici, C. Visan, M. Marcu

Tags: Computer science, Energy-efficient computing, Performance

May 14, 2011 by hgpu

Where is the data? Why you cannot debate CPU vs. GPU performance without the answer

Chris Gregg, Kim Hazelwood

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Tags: Computer science, nVidia, nVidia GeForce 9800 GT, nVidia GeForce GT 330 M, nVidia GeForce GTX 480, Performance, Review, Tesla C2050

May 11, 2011 by hgpu

Data-aware scheduling of legacy kernels on heterogeneous platforms with distributed memory

Michela Becchi, Surendra Byna, Srihari Cadambi, Srimat Chakradhar

Tags: Computer science, CUDA, Distributed data structures, Heterogeneous systems, nVidia, Performance, Programming Languages, Sparse matrix, Tesla C870

May 10, 2011 by hgpu

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

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

GigaAPI for GPU Parallelization

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

DuoReduce: MLIR's benchmark

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

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high performance computing on graphics processing units: hgpu.org

The GPU on irregular computing: performance issues and contributions

Implementation and Performance Comparison of the Motion Compensation Kernel of the AVS Video Decoder on FPGA, GPU and Multicore Processors

Speculative Execution on GPU: An Exploratory Study

Performance Analysis of a Hybrid MPI/CUDA Implementation of the NAS-LU Benchmark

Analyzing throughput of GPGPUs exploiting within-die core-to-core frequency variation

Image processing applications on a low power highly parallel SIMD architecture

From Sparse Matrix to Optimal GPU CUDA Sparse Matrix Vector Product Implementation

Profiling General Purpose GPU Applications

GPU powered artificial immune system for visual applications

Performance and power consumption investigation for execution of integer operations on CPU and GPU processors for multimedia applications

Where is the data? Why you cannot debate CPU vs. GPU performance without the answer

Data-aware scheduling of legacy kernels on heterogeneous platforms with distributed memory

Recent source codes

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

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

DuoReduce: MLIR's benchmark

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