high performance computing on graphics processing units: hgpu.org

Programming

Automatic Data Layout Optimizations for GPUs

Klaus Kofler, Biagio Cosenza, Thomas Fahringer

View

Tags: Algorithms, AMD FirePro S9000, ATI, Computer science, Data Structures and Algorithms, nVidia, nVidia GeForce GTX 480, OpenCL, Optimization, Tesla K20

June 17, 2015 by hgpu

Perfect Hashing Structures for Parallel Similarity Searches

Tuan Tu Tran, Mathieu Giraud, Jean-Stephane Varre

View

Download (PDF)

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

View

Download (PDF)

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

View

Download (PDF)

Source codes

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

View

Download (PDF)

Source codes

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

View

Download (PDF)

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

View

Download (PDF)

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

View

Download (PDF)

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

View

Download (PDF)

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

View

Download (PDF)

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

View

Download (PDF)

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

View

Download (PDF)

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

May 29, 2015 by hgpu

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Programming

Automatic Data Layout Optimizations for GPUs

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

Recent source codes

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Most viewed papers (last 30 days)