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Load Balancing versus Occupancy Maximization on Graphics Processing Units: The Generalized Hough Transform as a Case Study

Juan Gomez-Luna, Jose Maria Gonzalez-Linares, Jose Ignacio Benavides, Emilio L. Zapata, Nicolas Guil

Tags: Computer science, CUDA, Image processing, nVidia, Programming techniques

August 22, 2011 by hgpu

Top ten ways to make formal methods for HPC practical

Ganesh Gopalakrishnan, Robert M. Kirby

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Tags: Computer science, CUDA, MPI, nVidia, OpenCL, OpenMP, Performance

August 22, 2011 by hgpu

The VRE volume rendering engine

Michal Hucko, Michal Vanek, Milos Sramek

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Tags: Computer science, GPU cluster, OpenGL, Rendering, Visualization

August 22, 2011 by hgpu

Compiler and runtime support for enabling generalized reduction computations on heterogeneous parallel configurations

Vignesh T. Ravi, Wenjing Ma, David Chiu, Gagan Agrawal

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 9800 GTX

August 22, 2011 by hgpu

Reusable software components for accelerator-based clusters

M. Mustafa Rafique, Ali R. Butt, Eli Tilevich

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 9600 M GT, Performance, Playstation

August 22, 2011 by hgpu

Improving programmability of heterogeneous many-core systems via explicit platform descriptions

Martin Sandrieser, Siegfried Benkner, Sabri Pllana

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Tags: Code generation, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, OpenCL, OpenMP, Presentation

August 22, 2011 by hgpu

Accelerating Haskell array codes with multicore GPUs

Manuel M.T. Chakravarty, Gabriele Keller, Sean Lee, Trevor L. McDonell, Vinod Grover

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Tags: Code generation, Computer science, CUBLAS, CUDA, Data parallelism, nVidia, Performance, Programming Languages, Tesla T10

August 22, 2011 by hgpu

A programming model for GPU-based parallel computing with scalability and abstraction

Balazs Domonkos, Gabor Jakab

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Tags: 3D Graphics and Realism, Computer science, CUDA, GPU cluster, MPI, nVidia, nVidia GeForce 9800 GX2, nVidia GeForce GTX 280, OpenMP, Programming techniques

August 22, 2011 by hgpu

Compiling Python to a hybrid execution environment

Rahul Garg, Jose Nelson Amaral

Tags: ATI, ATI CAL, BLAS, Compilers, Computer science, OpenCL, Python

August 21, 2011 by hgpu

A declarative API for particle systems

Pavel Krajcevski, John Reppy

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Tags: 3D Graphics and Realism, Computer science, GLSL, OpenCL

August 21, 2011 by hgpu

Software architecture and system validation of an open, unified model for accelerated multicore computing

C. H. Crawford, D. J. Burdick, J. N. Dale, E. F. Ford, R. A. Mikosh, A. Nobles, V. To

Tags: Computer science, Heterogeneous systems, OpenCL

August 21, 2011 by hgpu

Mind the gap!: bridging the dichotomy of design and implementation

Donna Kaminskyj Long, Liam Kiemele, Celina Gibbs, Andrew Brownsword, Yvonne Coady

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Tags: Computer science, Linear Algebra, OpenCL, Performance, Presentation, Programming techniques

August 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

Load Balancing versus Occupancy Maximization on Graphics Processing Units: The Generalized Hough Transform as a Case Study

Top ten ways to make formal methods for HPC practical

The VRE volume rendering engine

Compiler and runtime support for enabling generalized reduction computations on heterogeneous parallel configurations

Reusable software components for accelerator-based clusters

Improving programmability of heterogeneous many-core systems via explicit platform descriptions

Accelerating Haskell array codes with multicore GPUs

A programming model for GPU-based parallel computing with scalability and abstraction

Compiling Python to a hybrid execution environment

A declarative API for particle systems

Software architecture and system validation of an open, unified model for accelerated multicore computing

Mind the gap!: bridging the dichotomy of design and implementation

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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