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GPU-based Cloud Computing for Comparing the Structure of Protein Binding Sites

Matthias Leinweber, Lars Baumgartner, Marco Mernberger, Thomas Fober, Eyke Hullermeier, Gerhard Klebe, Bernd Freisleben

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Tags: Biology, Java, Macromolecule, nVidia, nVidia GeForce GTX 580, OpenCL, Tesla M2050

June 26, 2012 by hgpu

A Compiler and Runtime for Heterogeneous Computing

Joshua Auerbach, David F. Bacon, Ioana Burcea, Perry Cheng, Stephen J. Fink, Rodric Rabbah, Sunil Shukla

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Tags: Computer science, FPGA, Heterogeneous systems, Java, nVidia, nVidia GeForce GTX 580, OpenCL, Programming Languages

June 4, 2012 by hgpu

Java on CUDA architecture

Jan Strnad

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Tags: Computer science, CUDA, Image processing, Java, Linear Algebra, Matrix multiplication, nVidia, Thesis

May 24, 2012 by hgpu

An Automatic Speech Recognition Application Framework for Highly Parallel Implementations on the GPU

Jike Chong, Ekaterina Gonina, Dorothea Kolossa, Steffen Zeiler, Kurt Keutzer

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Tags: Computer science, CUDA, Java, nVidia, nVidia GeForce GTX 480, Programming techniques, Speech recognition

May 15, 2012 by hgpu

WebCL for Hardware-Accelerated Web Applications

Won Jeon, Tasneem Brutch, Simon Gibbs

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Tags: Algorithms, Computer science, Java, nVidia, nVidia GeForce GT 330 M, OpenCL, Package

April 25, 2012 by hgpu

Writing a modular GPGPU program in Java

Masayuki Ioki, Shumpei Hozumi, Shigeru Chiba

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Tags: Computer science, CUDA, Fortran, Java, nVidia, Tesla M2050

April 13, 2012 by hgpu

Hadoop+Aparapi: Making heterogenous MapReduce programming easier

Yu Lin, Semih Okur, Cosmin Radoi

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Tags: Algorithms, Cloud, Computer science, Java, MapReduce, OpenCL

April 10, 2012 by hgpu

Multi-Object Geodesic Active Contours (MOGAC): A Parallel Sparse-Field Algorithm for Image Segmentation

Blake C. Lucas, Michael Kazhdan, Russell H. Taylor

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Tags: Algorithms, Computer science, Computer vision, Java, nVidia, nVidia Quadro FX 4000, OpenCL

March 10, 2012 by hgpu

Decompilation of LLVM IR

Simon Moll

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Tags: Code generation, Compilers, Computer science, GLSL, HLSL, Java, nVidia, nVidia GeForce 9600 GT, OpenCL, Optimization, Thesis

January 31, 2012 by hgpu

A new parallel tool for classification of remotely sensed imagery

Sergio Bernabe, Antonio Plaza, Prashanth Reddy Marpu, Jon Atli Benediktsson

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Tags: Clustering, CUDA, Earth and Space Sciences, Java, nVidia, nVidia GeForce 9400 M, Tesla C1060

January 9, 2012 by hgpu

Acceleration of grammatical evolution using graphics processing units: computational intelligence on consumer games and graphics hardware

Petr Pospichal, Eoin Murphy, Michael O'Neill, Josef Schwarz, Jiri Jaros

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Tags: Algorithms, Computational Complexity, Computer science, CUDA, Genetic programming, Java, nVidia, nVidia GeForce GTX 480, Optimization

December 19, 2011 by hgpu

PATUS: A Code Generation and Autotuning Framework For Parallel Iterative Stencil Computations on Modern Microarchitectures

Matthias Christen, Olaf Schenk, Helmar Burkhart

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Tags: Code generation, Computer science, Java, nVidia, Optimization, Package, Tesla C2050

November 21, 2011 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

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high performance computing on graphics processing units: hgpu.org

GPU-based Cloud Computing for Comparing the Structure of Protein Binding Sites

A Compiler and Runtime for Heterogeneous Computing

Java on CUDA architecture

An Automatic Speech Recognition Application Framework for Highly Parallel Implementations on the GPU

WebCL for Hardware-Accelerated Web Applications

Writing a modular GPGPU program in Java

Multi-Object Geodesic Active Contours (MOGAC): A Parallel Sparse-Field Algorithm for Image Segmentation

Decompilation of LLVM IR

A new parallel tool for classification of remotely sensed imagery

Acceleration of grammatical evolution using graphics processing units: computational intelligence on consumer games and graphics hardware

PATUS: A Code Generation and Autotuning Framework For Parallel Iterative Stencil Computations on Modern Microarchitectures

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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