high performance computing on graphics processing units: hgpu.org

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Twin peaks: a software platform for heterogeneous computing on general-purpose and graphics processors

Jayanth Gummaraju, Laurent Morichetti, Michael Houston, Ben Sander, Benedict R. Gaster, Bixia Zheng

Tags: ATI, Computer science, High-level Languages, OpenCL, Performance, Programming techniques

May 10, 2011 by hgpu

A GPU-inspired soft processor for high-throughput acceleration (thesis)

Jeffrey Richard Code Kingyens

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Tags: ATI, ATI CTM, Cg, Computational Engineering, Computer science, FPGA, nVidia, Performance, Thesis

May 8, 2011 by hgpu

A GPU-inspired soft processor for high-throughput acceleration

Jeffrey Richard Code Kingyens, J. Gregory Steffan

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Tags: ATI, ATI CTM, Cg, Computational Engineering, Computer science, FPGA, nVidia, Performance

May 8, 2011 by hgpu

Accelerating floating-point fitness functions in evolutionary algorithms: a FPGA-CPU-GPU performance comparison

Juan Gomez-Pulido, Miguel Vega-Rodriguez, Juan Sanchez-Perez, Silvio Priem-Mendes, Vitor Carreira

Tags: Computer science, Evolutionary Computations, FPGA, Genetic programming, Performance

May 4, 2011 by hgpu

Pushing the limits for medical image reconstruction on recent standard multicore processors

Jan Treibig, Georg Hager, Hannes G. Hofmann, Joachim Hornegger, Gerhard Wellein

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Tags: Computed tomography, Computer science, CT, CUDA, Image reconstruction, nVidia, nVidia GeForce GTX 260, nVidia Quadro FX 5800, OpenMP, Performance

April 29, 2011 by hgpu

Exploiting SPMD Horizontal Locality to Improve Memory Efficiency

C. Gou, G. Gaydadjiev

Tags: Computer science, Memory, Performance

April 25, 2011 by hgpu

Optimized HPL for AMD GPU and multi-core CPU usage

Matthias Bach, Matthias Kretz, Volker Lindenstruth, David Rohr

Tags: ATI, ATI Radeon HD 5870, Computer science, GPU cluster, Heterogeneous systems, Linear Algebra, MPI, Performance

April 25, 2011 by hgpu

A performance prediction model for the CUDA GPGPU platform

Kishore Kothapalli, Rishabh Mukherjee, M. Suhail Rehman, Suryakant Patidar, P. J. Narayanan, Kannan Srinathan

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Tags: Computer science, CUDA, Matrix multiplication, nVidia, nVidia GeForce GTX 280, Performance

April 21, 2011 by hgpu

HPP-Controller: An intra-node controller designed for connecting heterogeneous CPUs

Qiang Li, Panyong Zhang, Ninghui Sun

Tags: Cell processor, Computer science, FPGA, Heterogeneous systems, Memory, Performance

April 19, 2011 by hgpu

Single-Chip Heterogeneous Computing: Does the Future Include Custom Logic, FPGAs, and GPGPUs?

Eric S. Chung, Peter A. Milder, James C. Hoe, Ken Mai

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Tags: ASIC, ATI, ATI CAL, ATI Radeon HD 5870, Computer science, CUDA, FPGA, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Performance

April 19, 2011 by hgpu

Dynamic warp formation: Efficient MIMD control flow on SIMD graphics hardware

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

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Tags: Computer science, CUDA, Hardware Architecture, nVidia, nVidia GeForce 8800 GTX, Performance, Warp level parallelism

April 19, 2011 by hgpu

Building a Personal High Performance Computer with Heterogeneous Processors

Qiang Li, Zhigang Huo, Ninghui Sun

Tags: Computer science, Heterogeneous systems, Performance

April 18, 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

Twin peaks: a software platform for heterogeneous computing on general-purpose and graphics processors

A GPU-inspired soft processor for high-throughput acceleration (thesis)

A GPU-inspired soft processor for high-throughput acceleration

Accelerating floating-point fitness functions in evolutionary algorithms: a FPGA-CPU-GPU performance comparison

Pushing the limits for medical image reconstruction on recent standard multicore processors

Exploiting SPMD Horizontal Locality to Improve Memory Efficiency

Optimized HPL for AMD GPU and multi-core CPU usage

A performance prediction model for the CUDA GPGPU platform

HPP-Controller: An intra-node controller designed for connecting heterogeneous CPUs

Single-Chip Heterogeneous Computing: Does the Future Include Custom Logic, FPGAs, and GPGPUs?

Dynamic warp formation: Efficient MIMD control flow on SIMD graphics hardware

Building a Personal High Performance Computer with Heterogeneous Processors

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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