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hgpu.org » Programming » OpenCL

OpenCL in Action: How to Accelerate Graphics and Computations

Matthew Scarpino

Tags: Book, Computer science, OpenCL, Programming techniques, Tutorial

December 26, 2011 by hgpu

SHADOW3 API: The Application Programming Interface for the ray tracing code SHADOW

Niccolo Canestrari, Dimitris Karkoulis, Manuel Sanchez del Rio

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Tags: Code generation, Computer science, Fortran, nVidia, OpenCL, Python, Raytracing, Tesla M2050

December 26, 2011 by hgpu

LatticeQCD using OpenCL

Matthias Bach, Owe Philipsen, Christopher Pinke, Christian Schafer, Lars Zeidlewicz

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Tags: ATI, ATI Radeon HD 5870, High Energy Physics - Lattice, nVidia, OpenCL, Physics, QCD, Tesla S2050

December 23, 2011 by hgpu

Implementation of a Parallel Tree Method on a GPU

Naohito Nakasato

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Tags: Astrophysics, ATI, ATI IL, ATI Radeon HD 5870, Computational Complexity, Computer science, Galaxy Astrophysics, Instrumentation and Methods for Astrophysics, KD-tree, OpenCL, Optimization, Performance

December 21, 2011 by hgpu

Analysis of GPGPU Platforms Efficiency in General-Purpose Computations

Pavel Kartashev, Vladislavs Nazaruk

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Tags: ATI, ATI Radeon HD 5750, Benchmarking, Computer science, nVidia, nVidia GeForce GT 240, OpenCL, Performance

December 20, 2011 by hgpu

Can CUDA be exposed through web services?

Massimo Becker

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Tags: Computer science, CUDA, Networks, nVidia, OpenCL, Overview, Thesis

December 20, 2011 by hgpu

Collision for 75-step SHA-1: Intensive Parallelization with GPU

E.A. Grechnikov, A.V. Adinetz

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Tags: Computer science, nVidia, OpenCL, Package, Security, Tesla M2050, Tesla X2070

December 18, 2011 by hgpu

Leveraging Parallelism with CUDA and OpenCL

S. Park, D. Shires, J. Ross, D. Richie

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Tags: AMD FireStream 9250, ATI, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 8800 GTX, OpenCL, Programming techniques, Tesla C1060

December 18, 2011 by hgpu

The MOSIX Cluster Operating System for High-Performance Computing on Linux Clusters, Multi-Clusters, GPU Clusters and Clouds

A. Barak, A. Shiloh

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Tags: Cloud, Computer science, GPU cluster, nVidia, nVidia GeForce GTX 480, OpenCL, Operating systems, Package

December 18, 2011 by hgpu

Parallel paradigms in optimal structural design

Van Huyssteen, Salomon Stephanus

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280, OpenCL, Optimization, Thesis

December 18, 2011 by hgpu

GPU Programming in a High Level Language: Compiling X10 to CUDA

Dave Cunningham, Rajesh Bordawekar, Vijay Saraswat

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Tags: Benchmarking, Computer science, CUDA, Heterogeneous systems, High-level Languages, nVidia, nVidia Quadro FX 3700 M, OpenCL, Tesla C1060, Tesla S1070

December 12, 2011 by hgpu

A Common GPU n-Dimensional Array for Python and C

Frederic Bastien, Arnaud Bergeron, Pascal Vincent, Yoshua Bengio

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 580, OpenCL, Package, Python

December 12, 2011 by hgpu

Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

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high performance computing on graphics processing units: hgpu.org

Programming

OpenCL in Action: How to Accelerate Graphics and Computations

SHADOW3 API: The Application Programming Interface for the ray tracing code SHADOW

LatticeQCD using OpenCL

Implementation of a Parallel Tree Method on a GPU

Analysis of GPGPU Platforms Efficiency in General-Purpose Computations

Can CUDA be exposed through web services?

Collision for 75-step SHA-1: Intensive Parallelization with GPU

Leveraging Parallelism with CUDA and OpenCL

Parallel paradigms in optimal structural design

GPU Programming in a High Level Language: Compiling X10 to CUDA

A Common GPU n-Dimensional Array for Python and C

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