high performance computing on graphics processing units: hgpu.org

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Design and Performance of the OP2 Library for Unstructured Mesh Applications

Carlo Bertolli, Adam Betts, Gihan Mudalige, Mike Giles, Paul Kelly

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 460, OpenCL, OpenMP, Package, Tesla C2050

October 18, 2011 by hgpu

Optimization strategies for parallel CPU and GPU implementations of a meshfree particle method

Jose M. Dominguez, Alejandro J.C. Crespo, Moncho Gomez-Gesteira

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Tags: Computational Engineering, Computer science, CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 480, OpenMP, Optimization, Performance, Tesla C1060

October 18, 2011 by hgpu

PyPs, a programmable pass manager

Serge Guelton, Mehdi Amini, Ronan Keryell, Beatrice Creusillet

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Tags: Compilers, Computer science, CUDA, FPGA, Heterogeneous systems, nVidia, OpenMP

October 11, 2011 by hgpu

Static Compilation Analysis for Host-Accelerator Communication Optimization

Mehdi Amini, Fabien Coelho, Francois Irigoin, Ronan Keryell

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Tags: Benchmarking, Computer science, CUDA, Numerical simulation, nVidia, OpenMP, Optimization, Package, Tesla C2050

October 11, 2011 by hgpu

Streaming-Oriented Parallelization of Domain-Independent Irregular Kernels

Jacobo Lobeiras, Margarita Amor, Manuel Arenaz, Basilio B. Fraguela

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Tags: Algorithms, ATI, ATI Radeon HD 4850, Brook, Computer science, OpenMP, Performance, Presentation

October 10, 2011 by hgpu

Performance Analysis and Optimisation of the OP2 Framework on Many-core Architectures

M.B. Giles, G.R. Mudalige, Z. Sharif, G. Markall, P.H.J. Kelly

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Tags: Benchmarking, CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 260, OpenMP, Partial differential equations, PDEs, Tesla C2050

October 5, 2011 by hgpu

A Complete Descritpion of the UnPython and Jit4GPU Framework

Rahul Garg, Jose Nelson Amaral

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Tags: ATI, ATI CAL, ATI IL, ATI Radeon HD 5850, ATI Stream, Compilers, Computer science, OpenMP, Optimization, Performance, Python

October 2, 2011 by hgpu

Parallel Computing based on GPGPU using Compute Unified Device Architecture

Lifeng Xu

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 580, OpenMP, Optimization, Thesis

October 1, 2011 by hgpu

Optimizing Linpack Benchmark on GPU-Accelerated Petascale Supercomputer

Feng Wang, Can-Qun Yang, Yun-Fei Du, Juan Chen, Hui-Zhan Yi, Wei-Xia Xu

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Tags: Benchmarking, Computer science, Heterogeneous systems, Linear Algebra, MPI, OpenMP, Optimization

September 28, 2011 by hgpu

Mint: realizing CUDA performance in 3D stencil methods with annotated C

Didem Unat, Xing Cai, Scott B. Baden

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Tags: Algorithms, Code generation, Compilers, Computer science, CUDA, nVidia, OpenMP, Optimization, Package, Performance, Programming Languages, Tesla C1060

September 21, 2011 by hgpu

A platform-independent tool for modeling parallel programs

Ferosh Jacob, Jeff Gray, Yu Sun, Purushotham Bangalore

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Tags: Algorithms, Computer science, MPI, OpenMP, Performance, Programming Languages, Programming techniques

September 15, 2011 by hgpu

Early experiences with the intel many integrated cores accelerated computing technology

L. Koesterke, J. Boisseau, J. Cazes, K. Milfeld, D. Stanzione

Tags: Algorithms, Computer science, Intel, OpenMP, Performance

September 11, 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

Design and Performance of the OP2 Library for Unstructured Mesh Applications

Optimization strategies for parallel CPU and GPU implementations of a meshfree particle method

PyPs, a programmable pass manager

Static Compilation Analysis for Host-Accelerator Communication Optimization

Streaming-Oriented Parallelization of Domain-Independent Irregular Kernels

Performance Analysis and Optimisation of the OP2 Framework on Many-core Architectures

A Complete Descritpion of the UnPython and Jit4GPU Framework

Parallel Computing based on GPGPU using Compute Unified Device Architecture

Optimizing Linpack Benchmark on GPU-Accelerated Petascale Supercomputer

Mint: realizing CUDA performance in 3D stencil methods with annotated C

A platform-independent tool for modeling parallel programs

Early experiences with the intel many integrated cores accelerated computing technology

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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