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Fast Sparse Matrix-Vector Multiplication on GPUs: Implications for Graph Mining

Xintian Yang, Srinivasan Parthasarathy, Ponnuswamy Sadayappan

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Tags: Computer science, CUDA, Databases, nVidia, Sparse matrix, Tesla C1060

March 15, 2011 by hgpu

Fast Human Detection with Cascaded Ensembles

Berkin Bilgic

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Tags: Computer science, Computer vision, CUDA, Image recognition, nVidia, Thesis

March 14, 2011 by hgpu

Fast Human Detection with Cascaded Ensembles on the GPU

Berkin Bilgic, Berthold K. P. Horn, Ichiro Masaki

Tags: Computer science, Computer vision, CUDA, Image recognition, nVidia

March 14, 2011 by hgpu

High-dimensional Planning on the GPU

Mark Henderson, Joseph T. Kider Jr., Maxim Likhachev, Alla Safonova

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Tags: Artificial intelligence, Computer science, CUDA, nVidia, Path problems, Tesla C870

March 14, 2011 by hgpu

A fast GPU algorithm for graph connectivity

Jyothish Soman, Kothapalli Kishore, P. J. Narayanan

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Tesla C1060

March 14, 2011 by hgpu

GPU Accelerated Face Detection

Jiangang Kong, Yangdong Deng

Tags: Computer science, Computer vision, Image recognition, nVidia, nVidia GeForce GTX 280

March 14, 2011 by hgpu

Incoherent Ray tracing on GPU

Xin Yang, Duan-Qing Xu, Lei Zhao

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce 8800 Ultra, Raytracing

March 14, 2011 by hgpu

Hardware Acceleration of EDA Algorithms: Custom ICs, FPGAs and GPUs

Kanupriya Gulati and Sunil P. Khatri

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Tags: Book, CAD, Computer science, CUDA, Electronic design automation, FPGA, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce GTX 280, nVidia Quadro FX 5800, Review

March 14, 2011 by hgpu

Expanding the boundaries of GPU computing

Dell Power Solutions

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Tags: Computer science, CUDA, Hardware Architecture, nVidia, Review, Tesla M1060, Tesla M2050, Tesla M2070

March 14, 2011 by hgpu

Comparing GPU and CPU in OLAP Cubes Creation

Krzysztof Kaczmarski

Tags: Computer science, CUDA, Databases, nVidia, Optimization

March 13, 2011 by hgpu

Obsidian: GPU Programming in Haskell

Koen Claessen, Mary Sheeran, Joel Svensson

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, Package

March 13, 2011 by hgpu

Obsidian: GPU Kernel Programming in Haskell (thesis)

Joel Svensson

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 320 M, nVidia GeForce GTX 480, Package, Thesis

March 13, 2011 by hgpu

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Fast Sparse Matrix-Vector Multiplication on GPUs: Implications for Graph Mining

Fast Human Detection with Cascaded Ensembles

Fast Human Detection with Cascaded Ensembles on the GPU

High-dimensional Planning on the GPU

A fast GPU algorithm for graph connectivity

GPU Accelerated Face Detection

Incoherent Ray tracing on GPU

Hardware Acceleration of EDA Algorithms: Custom ICs, FPGAs and GPUs

Expanding the boundaries of GPU computing

Comparing GPU and CPU in OLAP Cubes Creation

Obsidian: GPU Programming in Haskell

Obsidian: GPU Kernel Programming in Haskell (thesis)

Recent source codes

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

ROCm's implementation of Gromacs

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

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