high performance computing on graphics processing units: hgpu.org

Kenji Ogawa, Tatsumi Aoyama, Hiroaki Ikeda, Etsuko Itou, Masafumi Kurachi, C.-J. David Lin, Hideo Matsufuru, Hiroshi Ohki, Tetsuya Onogi, Eigo Shintani, Takeshi Yamazaki

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Tags: CUDA, GPU cluster, High Energy Physics - Lattice, nVidia, Physics, QCD, Tesla C1060

November 8, 2011 by hgpu

Speculative Parallel Evaluation Of Classification Trees On GPGPU Compute Engines

Jason Spencer

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia Quadro FX 2000, Optimization, Pattern recognition

November 8, 2011 by hgpu

Functional Programming for High-Performance Computing on Heterogeneous Architectures

Sylvain Henry

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia Quadro FX 5800, OpenCL, Optimization, Performance, Programming Languages, Programming techniques

November 7, 2011 by hgpu

Fast Computation of Dipole Radiation in Stratified Background Using Graphics Processing Unit

M. Quinto, S. Boutami, J. Hazart

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Tags: Algorithms, CUDA, Electrodynamics, nVidia, nVidia GeForce 8800 GTX

November 7, 2011 by hgpu

Vergence Using GPU Cepstral Filtering

Luis Almeida, Paulo Menezes, Jorge Dias

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Tags: Algorithms, Computer science, Computer vision, CUDA, Filtering, nVidia, nVidia GeForce 9800 GTX

November 7, 2011 by hgpu

GPU-accelerated Convex Multi-phase Image Segmentation

Subrahmanyam Gorthi, Arnaud Le Carvennec, Hadrien Copponnex, Xavier Bresson, Jean-Philippe Thiran

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Source codes

Tags: Algorithms, Computational Complexity, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 285, Optimization, Package

November 7, 2011 by hgpu

Real-time Sliding Phase Vocoder using a Commodity GPU

Russell Bradford, John ffitch, Richard Dobson

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Tags: Algorithms, CUDA, nVidia, nVidia GeForce GTX 470, Signal processing

November 6, 2011 by hgpu

Parallelization of algorithms for solving the Boltzmann equation for GPU-based computations

E.A. Malkov, M.S. Ivanov

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Tags: Algorithms, Boltzmann equation, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Physics

November 6, 2011 by hgpu

Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

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high performance computing on graphics processing units: hgpu.org

Acceleration of Hessenberg Reduction for Nonsymmetric Eigenvalue Problems in a Hybrid CPU-GPU Computing Environment

Graphics Processing Unit Utilization in Circuit Simulation

Performance analysis of a hybrid MPI/CUDA implementation of the NASLU benchmark

High performance massively parallel direct N-body simulations on large GPU clusters

The Infrared behavior of SU(3) Nf=12 gauge theory -about the existence of conformal fixed point-

Speculative Parallel Evaluation Of Classification Trees On GPGPU Compute Engines

Functional Programming for High-Performance Computing on Heterogeneous Architectures

Fast Computation of Dipole Radiation in Stratified Background Using Graphics Processing Unit

Vergence Using GPU Cepstral Filtering

GPU-accelerated Convex Multi-phase Image Segmentation

Real-time Sliding Phase Vocoder using a Commodity GPU

Parallelization of algorithms for solving the Boltzmann equation for GPU-based computations

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Atlas CLI: Machine Learning (ML) Lifecycle & Transparency Manager

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NCCLX: collective communication framework

Tutoring LLM into a Better CUDA Optimizer

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

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