high performance computing on graphics processing units: hgpu.org

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Dealing With Big Data Outside Of The Cloud: GPU Accelerated Sort

John Vidler, Paul Rayson, Laurence Anthony, Andrew Scott, John Mariani

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Tags: Algorithms, Cloud, Computer science, CUDA, nVidia, nVidia GeForce GTX Titan, Sorting

June 18, 2014 by hgpu

A GPU Implementation of Large Neighborhood Search for Solving Constraint Optimization Problems

F. Campeotto, A. Dovier, F. Fioretto, E. Pontelli

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX Titan, Optimization, Search

June 14, 2014 by hgpu

GPGPU opportunities for the LHCb trigger

Alexey Badalov, Daniel Campora, Gianmaria Collazuol, Marco Corvo, Stefano Gallorini, Alessio Gianelle, Elisabet Golobardes, Donatella Lucchesi, Anna Lupato, Niko Neufeld, Lorenzo Sestini, Rainer Schwemmer, Xavier Vilasis-Cardona

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Tags: CUDA, High Energy Physics - Experiment, nVidia, nVidia GeForce GTX 690, nVidia GeForce GTX Titan, Particle physics and field theory, Physics

June 6, 2014 by hgpu

Performance models for CPU-GPU data transfers

B. van Werkhoven, J. Maassen, F.J. Seinstra, H.E. Bal

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Tags: Computer science, CUDA, nVidia GeForce GTX 680, nVidia GeForce GTX Titan, PCIe, Performance, Performance prediction, Tesla K20

June 5, 2014 by bennotsi

Loo.py: transformation-based code generation for GPUs and CPUs

Andreas Klockner

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Source codes

Tags: ATI, ATI Radeon HD 7990, Code generation, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX Titan, OpenCL, Package, Programming Languages, PyOpenCL, Python

June 2, 2014 by hgpu

Multi-target DPA attacks: Pushing DPA beyond the limits of a desktop computer

Luke Mather, Elisabeth Oswald, Carolyn Whitnall

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Tags: AMD Radeon R9 290, ATI, Computational Complexity, Computer science, nVidia, nVidia GeForce GTX Titan, OpenCL, Security, Tesla K20

June 2, 2014 by hgpu

Bulk Execution of Oblivious Algorithms on the Unified Memory Machine, with GPU Implementation

Kazuya Tani, Daisuke Takafuji, Koji Nakano, Yasuaki Ito

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Tags: Algorithms, Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 680, nVidia GeForce GTX Titan, Programming techniques

May 31, 2014 by hgpu

Research on GPU-accelerated algorithm in 3D finite difference neutron diffusion calculation method

Qi Xu, Gang-Lin Yu, Kan Wang, Jia-Long Sun

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Tags: CUDA, Diffusion equation, Finite difference, Nuclear physics, nVidia, nVidia GeForce GTX Titan, Physics

May 14, 2014 by hgpu

Deriving Shape Grammars on the GPU

Mark Dokter

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX Titan, OpenGL, Performance

May 13, 2014 by hgpu

Applying Source Level Auto-Vectorization to Aparapi Java

Frank Curtis Albert

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Tags: Computer science, CUDA, Java, nVidia, nVidia GeForce GTX Titan, OpenCL, Thesis

May 9, 2014 by hgpu

Understanding Protein Dynamics with L1-Regularized Reversible Hidden Markov Models

Robert T. McGibbon, Bharath Ramsundar, Mohammad M. Sultan, Gert Kiss, Vijay S. Pande

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Tags: Algorithms, Biology, Biophysics, CUDA, Distributed computing, Machine learning, Molecular dynamics, nVidia, nVidia GeForce GTX Titan

May 9, 2014 by hgpu

Simulation of earthquake sloshing loads in a nuclear reactor

J.L. Cercos-Pita, L.M. Gonzalez, A. Moreno, A. Guerrero, S. Salgado

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Tags: ATI, ATI Radeon HD 7970, Earth and Space Sciences, nVidia, nVidia GeForce GTX Titan, OpenCL

May 7, 2014 by hgpu

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

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

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

A GPU Implementation of Large Neighborhood Search for Solving Constraint Optimization Problems

GPGPU opportunities for the LHCb trigger

Performance models for CPU-GPU data transfers

Loo.py: transformation-based code generation for GPUs and CPUs

Multi-target DPA attacks: Pushing DPA beyond the limits of a desktop computer

Bulk Execution of Oblivious Algorithms on the Unified Memory Machine, with GPU Implementation

Research on GPU-accelerated algorithm in 3D finite difference neutron diffusion calculation method

Deriving Shape Grammars on the GPU

Applying Source Level Auto-Vectorization to Aparapi Java

Understanding Protein Dynamics with L1-Regularized Reversible Hidden Markov Models

Simulation of earthquake sloshing loads in a nuclear reactor

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

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

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

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

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

Most viewed papers (last 30 days)