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Professional CUDA C Programming

John Cheng, Max Grossman, Ty McKercher

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Tags: Algorithms, Book, Computer science, CUDA, Memory model, nVidia, Review

September 8, 2014 by hgpu

Multi-Agent Systems and General-Purpose Computing on Graphics Processing Units: A Survey

Emmanuel Hermellin, Fabien Michel, Jacques Ferber

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Tags: Computer science, CUDA, nVidia, Review

August 7, 2014 by hgpu

On Development, Feasibility, and Limits of Highly Efficient CPU and GPU Programs in Several Fields

David Rohr

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Tags: Benchmarking, Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Performance, Review, Thesis

July 14, 2014 by hgpu

GPU Implementation of Bayesian Neural Network Construction for Data-Intensive Applications

Michelle Perry, Harrison B. Prosper, Anke Meyer-Baese

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Tags: Bayesian, CUDA, Neural networks, nVidia, nVidia GeForce GTX 480, Physics, Review

June 17, 2014 by hgpu

Review of Memory/Cache Management Technologies used on Heterogeneous Computing Systems

Mustafa Ali, Tarik Ozkul

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Tags: Computer science, Heterogeneous systems, Memory, Review

May 23, 2014 by hgpu

Optimized Composition: Generating Efficient Code for Heterogeneous Systems from Multi-Variant Components, Skeletons and Containers

Christoph Kessler, Usman Dastgeer, Lu Li

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Source codes

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Optimization, Package, Review, Tesla C2050

May 15, 2014 by hgpu

K-Means on GPU: A Review

Vidya Dhamdhere, Rahul G. Ghudji

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Tags: Algorithms, Clustering, Computer science, CUDA, Data mining, nVidia, Review

May 13, 2014 by hgpu

Atmospheric Chemistry

Istvan Lagzi, Robert Meszaros, Gyorgyi Gelybo, Adam Leelossy

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Tags: Book, Chemistry, CUDA, Earth and Space Sciences, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce 8800 GTX, Review

April 30, 2014 by hgpu

Analysis and Review of Sorting Algorithms

Gaurav Kocher, Nikita Agrawa

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Tags: Algorithms, Computer science, OpenCL, Review, Sorting

April 12, 2014 by hgpu

Literature Review: Parallel Computing on linear equations of linear elastic FEM stimulation with CUDA

Zheng Xia

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Tags: Computer science, CUDA, Differential equations, nVidia, Partial differential equations, PDEs, Review

April 9, 2014 by hgpu

Data Mining Techniques in Parallel and Distributed Environment – A Comprehensive Survey

S. Masih, S. Tanwani

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Tags: CUDA, Data mining, Databases, Review

March 31, 2014 by hgpu

Literature review: Build and Travel KD-Tree with CUDA

M. Zhou

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Tags: CUDA, Graphics, KD-tree, Raytracing, Review

March 29, 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

* * *

high performance computing on graphics processing units: hgpu.org

Professional CUDA C Programming

Multi-Agent Systems and General-Purpose Computing on Graphics Processing Units: A Survey

On Development, Feasibility, and Limits of Highly Efficient CPU and GPU Programs in Several Fields

GPU Implementation of Bayesian Neural Network Construction for Data-Intensive Applications

Review of Memory/Cache Management Technologies used on Heterogeneous Computing Systems

Optimized Composition: Generating Efficient Code for Heterogeneous Systems from Multi-Variant Components, Skeletons and Containers

K-Means on GPU: A Review

Atmospheric Chemistry

Analysis and Review of Sorting Algorithms

Literature Review: Parallel Computing on linear equations of linear elastic FEM stimulation with CUDA

Data Mining Techniques in Parallel and Distributed Environment – A Comprehensive Survey

Literature review: Build and Travel KD-Tree 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

Most viewed papers (last 30 days)