high performance computing on graphics processing units: hgpu.org

Programming

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Aspects of GPU for general purpose high performance computing

Takayuki Aoki, Shoichi Hirasawa, Akira Nukada, Hiroki Honda, Satoshi Matsuoka

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Performance, Programming techniques, Task scheduling

March 23, 2011 by hgpu

Dense linear algebra solvers for multicore with GPU accelerators

Stanimire Tomov, Rajib Nath, Hatem Ltaief, Jack Dongarra

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Tags: Algorithms, Computer science, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce GTX 280, Package

March 23, 2011 by hgpu

GPU Accelerators for Evolvable Cellular Automata

Ludek Zaloudek, Lukas Sekanina, Vaclav Simek

Tags: Cellular automata, Computer science, CUDA, Genetic programming, nVidia

March 23, 2011 by hgpu

On Using GPU to Compute Options and Derivatives

Option Models

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Tags: Computational finance, CUDA, Finance, nVidia, nVidia GeForce 8800 GT

March 23, 2011 by hgpu

Efficient stream reduction on the GPU

David Roger, Ulf Assarsson, Nicolas Holzschuch

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce 8800 GTS, OpenGL, Programming techniques

March 23, 2011 by hgpu

Fast and accurate PIV computation using highly parallel iterative correlation maximization

F. Champagnat, A. Plyer, G. Le Besnerais, B. Leclaire, S. Davoust, Y. Le Sant

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Tags: CUDA, Fluid dynamics, nVidia, Package, Tesla C1060

March 22, 2011 by hgpu

Bridging the GPGPU-FPGA efficiency gap

Christopher W. Fletcher, Ilia A. Lebedev, Narges B. Asadi, Daniel R. Burke, John Wawrzynek

Tags: Algorithms, Bayesian, Computer science, FPGA, Heterogeneous systems, nVidia, OpenCL

March 22, 2011 by hgpu

Improving accuracy for matrix multiplications on GPUs

Matthew Badin, Lubomir Bic, Michael Dillencourt, Alexandru Nicolau

Tags: Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, Performance

March 22, 2011 by hgpu

Evaluating force field accuracy with long-time simulations of a beta-hairpin tryptophan zipper peptide

N. R. Hayre, R. R. Singh, D. L. Cox

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Tags: Biophysics, Chemistry, CUDA, Molecular dynamics, nVidia, nVidia GeForce GTX 285

March 22, 2011 by hgpu

Constructing Two-Dimensional Voronoi Diagrams via Divide-and-Conquer of Envelopes in Space (thesis)

Ophir Setter

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Tags: Algorithms, Computer science, Distance transform, Voronoi diagram

March 22, 2011 by hgpu

Constructing Two-Dimensional Voronoi Diagrams via Divide-and-Conquer of Envelopes in Space

Ophir Setter, Micha Sharir, Dan Halperin

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Tags: Algorithms, Computer science, Distance transform, Voronoi diagram

March 22, 2011 by hgpu

fastHOG – a real-time GPU implementation of HOG

Victor A. Prisacariu, Ian Reid

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Tags: Algorithms, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 285, Package

March 22, 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

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high performance computing on graphics processing units: hgpu.org

Programming

Aspects of GPU for general purpose high performance computing

Dense linear algebra solvers for multicore with GPU accelerators

GPU Accelerators for Evolvable Cellular Automata

On Using GPU to Compute Options and Derivatives

Efficient stream reduction on the GPU

Fast and accurate PIV computation using highly parallel iterative correlation maximization

Bridging the GPGPU-FPGA efficiency gap

Improving accuracy for matrix multiplications on GPUs

Evaluating force field accuracy with long-time simulations of a beta-hairpin tryptophan zipper peptide

Constructing Two-Dimensional Voronoi Diagrams via Divide-and-Conquer of Envelopes in Space (thesis)

Constructing Two-Dimensional Voronoi Diagrams via Divide-and-Conquer of Envelopes in Space

fastHOG – a real-time GPU implementation of HOG

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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