high performance computing on graphics processing units: hgpu.org

hgpu.org » Performance

Automatic CPU-GPU communication management and optimization

Thomas B. Jablin, Prakash Prabhu, James A. Jablin, Nick P. Johnson, Stephen R. Beard, David I. August

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Optimization, Performance, Programming techniques

September 7, 2011 by hgpu

High performance computation and interactive display of molecular orbitals on GPUs and multi-core CPUs

John E. Stone, Jan Saam, David J. Hardy, Kirby L. Vandivort, Wen-mei W. Hwu, Klaus Schulten

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Tags: Algorithms, Chemistry, CUDA, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, Performance, Programming techniques, Rendering, Visualization

September 7, 2011 by hgpu

MacroSS: macro-SIMDization of streaming applications

Amir H. Hormati, Yoonseo Choi, Mark Woh, Manjunath Kudlur, Rodric Rabbah, Trevor Mudge, Scott Mahlke

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Tags: Code generation, Compilers, Computer science, Optimization, Performance, Programming Languages

September 7, 2011 by hgpu

A code-based analytical approach for using separate device coprocessors in computing systems

Volker Hampel, Grigori Goronzy, Erik Maehle

Tags: Computer science, FPGA, Performance

September 7, 2011 by hgpu

GPU-based asynchronous particle swarm optimization

Luca Mussi, Youssef S.G. Nashed, Stefano Cagnoni

Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia, Optimization, Performance

September 7, 2011 by hgpu

Bridging parallel and reconfigurable computing with multilevel PGAS and SHMEM+

V. Aggarwal, A. George, K. Yalamanchili, C. Yoon, H. Lam, G. Stitt

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Tags: Computer science, FPGA, Heterogeneous systems, Performance, Programming Languages, Programming techniques

September 6, 2011 by hgpu

Reliability modeling of MEMS devices on CUDA based HPC setup

Rohit Pathak, Satyadhar Joshi

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Tags: Computer science, CUDA, Data parallelism, nVidia, Performance

August 31, 2011 by hgpu

The Arcane development framework

Gilles Grospellier, Benoit Lelandais

Tags: Computer science, Numerical simulation, Performance, Software Engineering

August 28, 2011 by hgpu

Exposing non-standard architectures to embedded software using compile-time virtualisation

Ian Gray, Neil C. Audsley

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Tags: Computer science, FPGA, Performance, Programming Languages, Virtualization

August 28, 2011 by hgpu

The impact of diverse memory architectures on multicore consumer software: an industrial perspective from the video games domain

George Russel, Colin Riley, Neil Henning, Uwe Dolinsky, Andrew Richards, Alastair F. Donaldson, Alexander S. van Amesfoort

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Tags: Cell processor, Computer science, Memory, Performance, Programming techniques

August 28, 2011 by hgpu

Automating GPU computing in MATLAB

Chun-Yu Shei, Pushkar Ratnalikar, Arun Chauhan

Tags: Compilers, Computer science, Heterogeneous systems, Performance

August 28, 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

Automatic CPU-GPU communication management and optimization

High performance computation and interactive display of molecular orbitals on GPUs and multi-core CPUs

MacroSS: macro-SIMDization of streaming applications

A code-based analytical approach for using separate device coprocessors in computing systems

GPU-based asynchronous particle swarm optimization

Bridging parallel and reconfigurable computing with multilevel PGAS and SHMEM+

Reliability modeling of MEMS devices on CUDA based HPC setup

The Arcane development framework

Exposing non-standard architectures to embedded software using compile-time virtualisation

The impact of diverse memory architectures on multicore consumer software: an industrial perspective from the video games domain

Automating GPU computing in MATLAB

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Tutoring LLM into a Better CUDA Optimizer

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

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