high performance computing on graphics processing units: hgpu.org

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Perfect Hashing Structures for Parallel Similarity Searches

Tuan Tu Tran, Mathieu Giraud, Jean-Stephane Varre

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Tags: Algorithms, Computer science, Databases, Filtering, Hashing, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX Titan, OpenCL

June 16, 2015 by hgpu

Parallelization of DIRA and CTmod using OpenMP and OpenCL

Alexander Ortenberg

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Tags: AMD Radeon R7 260, ATI, Computed tomography, CT, Image processing, Image reconstruction, Intel Xeon Phi, Medicine, OpenCL, OpenMP, Thesis, Tomography

June 16, 2015 by hgpu

Accelerating parameter synthesis for stochastic models

Petr Pilar

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce GTX 480, OpenCL, Package, Probability, Sparse matrix, Thesis

June 14, 2015 by hgpu

Improving OpenCL Programmability with the Heterogeneous Programming Library

Moises Vinas, Basilio B. Fraguela, Zeki Bozkus, Diego Andrade

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Tags: Computer science, Heterogeneous systems, Intel Xeon Phi, nVidia, OpenCL, Package, Tesla C2050

June 8, 2015 by hgpu

CGO: G: Intelligent Heuristic Construction with Active Learning

William F. Ogilvie, Pavlos Petoumenous, Zheng Wang, Hugh Leather

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Tags: Computer science, Machine learning, nVidia, nVidia GeForce GTX Titan, OpenCL, Optimization

June 8, 2015 by hgpu

Exploring CPU-GPU Coherence

Gokul Subramanian, Urmish Thakker, Swapnil Haria, Rohit Shukla, Han Lin

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Tags: ARM, ATI, Computer science, GPGPU-sim, Heterogeneous systems, HSA, OpenCL

June 8, 2015 by hgpu

A Parallel Implementation of the Galerkin Method for Solving Partial Differential Equations on a Triangular Mesh

Rachel N. Hess

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Tags: Differential equations, FEM, Finite element method, Mathematics, OpenCL, Partial differential equations, PDEs, PyOpenCL, Thesis, Triangular meshes

June 7, 2015 by hgpu

Machine Learning Based Auto-tuning for Enhanced OpenCL Performance Portability

Thomas L. Falch, Anne C. Elster

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Tags: ATI, ATI Radeon HD 7970, Benchmarking, Computer science, Deep learning, Heterogeneous systems, Machine learning, Neural networks, nVidia, OpenCL, Tesla K40

June 5, 2015 by hgpu

Accelerated Nodal Discontinuous Galerkin Simulations for Reverse Time Migration with Large Clusters

Axel Modave, Amik St-Cyr, Wim A. Mulder, Tim Warburton

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Tags: ATI, ATI Radeon HD 7970, Computational Physics, CUDA, Geophysics, MPI, nVidia, nVidia GeForce GTX 980, OpenCL, Physics, Tesla K20, Tesla K40

June 5, 2015 by hgpu

Efficient FFT mapping on GPU for radar processing application: modeling and implementation

Mohamed Amine Bergach, Emilien Kofman, Robert de Simone, Serge Tissot, Michel Syska

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Tags: FFT, GPGPU, Intel HD 5200, Intel HD Graphics 4000, OpenCL, SAR

June 1, 2015 by Aminems

Optimized Password Recovery for Encrypted RAR on GPUs

Xiaojing An, Haojun Zhao, Lulu Ding, Zhongrui Fan, Hanyue Wang

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Tags: AES, AMD FirePro W8000, ATI, Computer science, Hashing, OpenCL, Security

May 29, 2015 by hgpu

Lensed: a code for the forward reconstruction of lenses and sources from strong lensing observations

Nicolas Tessore, Fabio Bellagamba, R. Benton Metcalf

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Tags: Astrophysics, OpenCL, Package, Rendering

May 29, 2015 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

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high performance computing on graphics processing units: hgpu.org

Perfect Hashing Structures for Parallel Similarity Searches

Parallelization of DIRA and CTmod using OpenMP and OpenCL

Accelerating parameter synthesis for stochastic models

Improving OpenCL Programmability with the Heterogeneous Programming Library

CGO: G: Intelligent Heuristic Construction with Active Learning

Exploring CPU-GPU Coherence

A Parallel Implementation of the Galerkin Method for Solving Partial Differential Equations on a Triangular Mesh

Machine Learning Based Auto-tuning for Enhanced OpenCL Performance Portability

Accelerated Nodal Discontinuous Galerkin Simulations for Reverse Time Migration with Large Clusters

Efficient FFT mapping on GPU for radar processing application: modeling and implementation

Optimized Password Recovery for Encrypted RAR on GPUs

Lensed: a code for the forward reconstruction of lenses and sources from strong lensing observations

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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