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Global optimization model on power efficiency of GPU and multicore processing element for SIMD computing with CUDA

Da-Qi Ren, Reiji Suda

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Tags: Algorithms, Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce 8800 GTS, Optimization, Tesla C2050

September 28, 2011 by hgpu

Parallelizing fuzzy rule generation using GPGPU

Takesuke Uenishi, Tomoharu Nakashima and Noriyuki Fujimoto

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Tags: Computer science, CUDA, Matrix multiplication, nVidia, nVidia GeForce GTX 295, Optimization, Performance

September 28, 2011 by hgpu

VoxelPipe: a programmable pipeline for 3D voxelization

Jacopo Pantaleoni

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

September 28, 2011 by hgpu

Thread Block Compaction for Efficient SIMT Control Flow

Wilson W. L. Fung, Tor M. Aamodt

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Tags: Computer science, CUDA, nVidia, nVidia Quadro FX 5800, Performance, Programming techniques

September 28, 2011 by hgpu

Parallel implementations of probabilistic latent semantic analysis on graphic processing units

Hang Chen

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Tags: Clustering, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Optimization, Text mining, Thesis

September 27, 2011 by hgpu

Fast On-line Statistical Learning on a GPGPU

FangZhou Xiao, Eric McCreath, Christfried Webers

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Tags: Algorithms, Computer science, CUDA, Machine learning, nVidia, nVidia GeForce GTX 200, nVidia GeForce GTX 295, Stochastic simulation

September 27, 2011 by hgpu

Fast Frequent Itemset Mining from Uncertain Databases using GPGPU

Yusuke Kozawa, Toshiyuki Amagasa, Hiroyuki Kitagawa

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Tags: Computer science, CUDA, Data mining, Databases, nVidia, nVidia Quadro FX 4800

September 27, 2011 by hgpu

A GPU approach to parallel replica-exchange polymer simulations

Jonathan Gross, Wolfhard Janke, Michael Bachmann

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Tags: CUDA, Monte Carlo simulation, nVidia, Physics, Polymer Systems, Programming techniques

September 27, 2011 by hgpu

PIPS Is not (just) Polyhedral Software

Mehdi Amini, Corinne Ancourt, Fabien Coelho, Beatrice Creusillet, Serge Guelton, Francois Irigoin, Pierre Jouvelot, Ronan Keryell, Pierre Villalon

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Tags: Code generation, Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL

September 27, 2011 by hgpu

PGEM: Preemptive GPGPU Execution Model for Runtime Engines

Shinpei Kato, Karthik Lakshmanan, Aman Kumar, Mihir Kelkar, Yutaka Ishikawa, Ragunathan (Raj) Rajkumar

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Source codes

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Package, Performance, Task scheduling

September 26, 2011 by hgpu

Manycore high-performance computing in bioinformatics

Jean-Stephane Varre, Bertil Schmidt, Stephane Janot, Mathieu Giraud

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Tags: Algorithms, Bioinformatics, Biology, CUDA, nVidia, OpenCL, Review, RNA, Sequence alignment

September 26, 2011 by hgpu

Generating GPU Code from a High-level Representation for Image Processing Kernels

Richard Membarth, Anton Lokhmotov, Jurgen Teich

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Tags: ATI, ATI Radeon HD 5870, Code generation, Compilers, CUDA, Image processing, nVidia, nVidia GeForce GTX 280, nVidia Quadro FX 5800, OpenCL, Optimization, Tesla C2050

September 26, 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

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high performance computing on graphics processing units: hgpu.org

Global optimization model on power efficiency of GPU and multicore processing element for SIMD computing with CUDA

Parallelizing fuzzy rule generation using GPGPU

VoxelPipe: a programmable pipeline for 3D voxelization

Thread Block Compaction for Efficient SIMT Control Flow

Parallel implementations of probabilistic latent semantic analysis on graphic processing units

Fast On-line Statistical Learning on a GPGPU

Fast Frequent Itemset Mining from Uncertain Databases using GPGPU

A GPU approach to parallel replica-exchange polymer simulations

PIPS Is not (just) Polyhedral Software

PGEM: Preemptive GPGPU Execution Model for Runtime Engines

Manycore high-performance computing in bioinformatics

Generating GPU Code from a High-level Representation for Image Processing Kernels

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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