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CuMAPz: a tool to analyze memory access patterns in CUDA

Yooseong Kim, Aviral Shrivastava

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Tags: Analytical model, Benchmarking, Computer science, CUDA, Memory, nVidia, Performance, Tesla C1060

September 20, 2011 by hgpu

EFFEX: an embedded processor for computer vision based feature extraction

Jason Clemons, Andrew Jones, Robert Perricone, Silvio Savarese, Todd Austin

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Tags: Algorithms, Computer science, Computer vision, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GT 210, nVidia GeForce GTX 260, SIFT

September 20, 2011 by hgpu

Supporting GPU sharing in cloud environments with a transparent runtime consolidation framework

Vignesh T. Ravi, Michela Becchi, Gagan Agrawal, Srimat Chakradhar

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Tags: Algorithms, Cloud, Computer science, CUDA, nVidia, Operating systems, Performance, Tesla C2050, Virtualization

September 20, 2011 by hgpu

Acceleration of genetic algorithms for sudoku solution on many-core processors

Yuji Sato, Naohiro Hasegawa, Mikiko Sato

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Tags: Algorithms, Computer science, CUDA, Games, Genetic programming, nVidia, nVidia GeForce GTX 460, Presentation

September 20, 2011 by hgpu

Debugging CUDA

William B. Langdon

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Tags: Computer science, CUDA, nVidia, Software Engineering

September 19, 2011 by hgpu

ACO with tabu search on a GPU for solving QAPs using move-cost adjusted thread assignment

Shigeyoshi Tsutsui, Noriyuki Fujimoto

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Optimization, Search

September 19, 2011 by hgpu

Generalisation in genetic programming

William B. Langdon

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Source codes

Tags: Artificial intelligence, Computer science, CUDA, Genetic programming, nVidia, Package

September 19, 2011 by hgpu

A model-driven partitioning and auto-tuning integrated framework for sparse matrix-vector multiplication on GPUs

Ping Guo, He Huang, Qichang Chen, Liqiang Wang, En-Jui Lee, Po Chen

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 295, Performance, Software Engineering, Sparse matrix

September 19, 2011 by hgpu

Computing without processors

Satnam Singh

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Tags: ATI, ATI Radeon HD 5870, Computer science, CUDA, DirectX, FPGA, Heterogeneous systems, nVidia, nVidia GeForce GTX 470

September 19, 2011 by hgpu

Real-time ray casting of algebraic B-spline surfaces

Feifei Wei, Jieqing Feng

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, Interactive application, nVidia, nVidia GeForce GTX 570, Rasterization, Real-time graphics, Visualization

September 19, 2011 by hgpu

The TheLMA project: Multi-GPU implementation of the lattice Boltzmann method

Christian Obrecht, Frederic Kuznik, Bernard Tourancheau, Jean-Jacques Roux

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Tags: CUDA, Fluid dynamics, GPU cluster, Lattice Boltzmann model, nVidia, Presentation, Tesla C1060

September 19, 2011 by hgpu

Improving SIMD efficiency for parallel Monte Carlo light transport on the GPU

Dietger van Antwerpen

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Raytracing

September 19, 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

CuMAPz: a tool to analyze memory access patterns in CUDA

EFFEX: an embedded processor for computer vision based feature extraction

Acceleration of genetic algorithms for sudoku solution on many-core processors

Debugging CUDA

ACO with tabu search on a GPU for solving QAPs using move-cost adjusted thread assignment

Generalisation in genetic programming

A model-driven partitioning and auto-tuning integrated framework for sparse matrix-vector multiplication on GPUs

Computing without processors

Real-time ray casting of algebraic B-spline surfaces

The TheLMA project: Multi-GPU implementation of the lattice Boltzmann method

Improving SIMD efficiency for parallel Monte Carlo light transport on the GPU

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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