high performance computing on graphics processing units: hgpu.org

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Efficient XML Path Filtering Using GPUs

Roger Moussalli, Robert Halstead, Mariam Salloum, Walid Najjar, Vassilis J. Tsotras

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Tags: Computer science, CUDA, Data Structures and Algorithms, FPGA, nVidia, Optimization, Tesla C1060

December 16, 2011 by hgpu

Objective-Driven Workload Allocation in Heterogeneous Computing Systems

Qiang Liu, Wayne Luk

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Tags: Computer science, CUDA, FPGA, Heterogeneous systems, nVidia, Performance, Tesla C2070

December 9, 2011 by hgpu

Scalable Multi-Cache Simulation Using GPUs

Michael Moeng, Sangyeun Cho, Rami Melhem

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Tags: Analytical model, Computer science, CUDA, FPGA, Memory, nVidia, nVidia GeForce GTS 450

November 27, 2011 by hgpu

Automatic generation of heterogeneous spectrometers for radio astronomy

Terry Filiba, Dan Werthimer

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Tags: Algorithms, Astrophysics, CUDA, FPGA, Heterogeneous systems

November 24, 2011 by hgpu

Teaching graphics processing and architecture using a hardware prototyping approach

Michael Steffen, Phillip Jones, Joseph Zambreno

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Tags: Algorithms, Computer science, Education, FPGA, OpenGL, Rendering

November 19, 2011 by hgpu

Compilation for Heterogeneous Computing: Automating Analyses, Transformations and Decisions

Serge Guelton, Francois Irigoin, Ronan Keryell

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Source codes

Tags: Code generation, Computer science, CUDA, FPGA, Heterogeneous systems, nVidia, nVidia Quadro FX 2700 M, Package, Signal processing

November 17, 2011 by hgpu

FPGA and ASIC Convergence

C. Valderrama, L. Jojczyk, P. DaCunha Possa, J. Dondo Gazzano

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Tags: ASIC, Computer science, FPGA, Overview

November 17, 2011 by hgpu

Molecular Docking on FPGA and GPU Platforms

I. Pechan, B. Feher

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Tags: Algorithms, Bioinformatics, Biology, CUDA, FPGA, nVidia, nVidia GeForce GT 220, nVidia GeForce GTX 260

November 13, 2011 by hgpu

A Run-Time Adaptive FPGA Architecture for Monte Carlo Simulations

Xiang Tian, C. Bouganis

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Tags: Computer science, FPGA, Monte Carlo simulation

November 12, 2011 by hgpu

Creating HW/SW co-designed MPSoPC’s from high level programming models

Eugene Cartwright, Sen Ma, David Andrews, Miaoqing Huang

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Tags: Computer science, FPGA, Heterogeneous systems, OpenCL, Operating systems, Pthreads

November 12, 2011 by hgpu

High-Level Design for FPGA-based Multiprocessor Accelerators

Diana Gohringer, Matthias Birk, Michael Hubner, Jurgen Becker

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Tags: Computer science, FPGA, Heterogeneous systems, Programming techniques

November 7, 2011 by hgpu

Transformation of Scientific Algorithms to Parallel Computing Code: Single GPU and MPI multi GPU Backends with Subdomain Support

Bjorn Meyer, Christian Plessl, Jens Forstner

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Tags: Algorithms, Code generation, CUDA, FPGA, GPU cluster, MPI, nVidia, nVidia GeForce GTX 480, Tesla C2050

November 5, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Efficient XML Path Filtering Using GPUs

Objective-Driven Workload Allocation in Heterogeneous Computing Systems

Scalable Multi-Cache Simulation Using GPUs

Automatic generation of heterogeneous spectrometers for radio astronomy

Teaching graphics processing and architecture using a hardware prototyping approach

Compilation for Heterogeneous Computing: Automating Analyses, Transformations and Decisions

FPGA and ASIC Convergence

Molecular Docking on FPGA and GPU Platforms

A Run-Time Adaptive FPGA Architecture for Monte Carlo Simulations

Creating HW/SW co-designed MPSoPC’s from high level programming models

High-Level Design for FPGA-based Multiprocessor Accelerators

Transformation of Scientific Algorithms to Parallel Computing Code: Single GPU and MPI multi GPU Backends with Subdomain Support

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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