high performance computing on graphics processing units: hgpu.org

Micah J. Best, Alexandra Fedorova, Ryan Dickie, Andrea Tagliasacchi, Alex Couture-Beil, Craig Mustard, Shane Mottishaw, Aron Brown, Zhi Feng Huang, Xiaoyuan Xu, Nasser Ghazali, Andrew Brownsword

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Tags: Algorithms, Computer science, Games, Performance

September 16, 2011 by hgpu

A Light-Weight Approach to Dynamical Runtime Linking Supporting Heterogenous, Parallel, and Reconfigurable Architectures

Rainer Buchty, David Kramer, Mario Kicherer, Wolfgang Karl

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Tags: Algorithms, Computer science, Heterogeneous systems, Programming techniques

September 16, 2011 by hgpu

Optimizations and Performance of a Robotics Grasping Algorithm Described in Geometric Algebra

Florian Worsdorfer, Florian Stock, Eduardo Bayro-Corrochano, Dietmar Hildenbrand

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Source codes

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Optimization, Package, Performance

September 16, 2011 by hgpu

A Generic Approach to Topic Models

Gregor Heinrich

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Tags: Algorithms, Bayesian, Computer science

September 16, 2011 by hgpu

Implicit and dynamic trees for high performance rendering

Nathan Andrysco, Xavier Tricoche

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Tags: 3D Graphics and Realism, Computer science, CUDA, KD-tree, nVidia, nVidia GeForce GTX 480, Raytracing, Rendering

September 16, 2011 by hgpu

Processing data streams with hard real-time constraints on heterogeneous systems

Uri Verner, Assaf Schuster, Mark Silberstein

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Tags: AES, Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, Performance, Security, Task scheduling

September 15, 2011 by hgpu

Strategies for preparing computer science students for the multicore world

Richard Brown, Elizabeth Shoop, Joel Adams, Curtis Clifton, Mark Gardner, Michael Haupt, Peter Hinsbeeck

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Tags: Algorithms, Computer science, Performance, Tutorial

September 15, 2011 by hgpu

Performing with CUDA

William B. Langdon

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Tags: Computer science, CUDA, nVidia, Operating systems, Performance, Review, Software Engineering, Tutorial

September 15, 2011 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

* * *

high performance computing on graphics processing units: hgpu.org

An adaptative game loop architecture with automatic distribution of tasks between CPU and GPU

Returning control to the programmer: SIMD intrinsics for virtual machines

NIMBLE: a toolkit for the implementation of parallel data mining and machine learning algorithms on mapreduce

Programmable and Scalable Architecture for Graphics Processing Units

Searching for Concurrent Design Patterns in Video Games

A Light-Weight Approach to Dynamical Runtime Linking Supporting Heterogenous, Parallel, and Reconfigurable Architectures

Optimizations and Performance of a Robotics Grasping Algorithm Described in Geometric Algebra

A Generic Approach to Topic Models

Implicit and dynamic trees for high performance rendering

Processing data streams with hard real-time constraints on heterogeneous systems

Strategies for preparing computer science students for the multicore world

Performing with CUDA

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

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