high performance computing on graphics processing units: hgpu.org

Programming

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A performance prediction model for the CUDA GPGPU platform

Kishore Kothapalli, Rishabh Mukherjee, M. Suhail Rehman, Suryakant Patidar, P. J. Narayanan, Kannan Srinathan

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Tags: Computer science, CUDA, Matrix multiplication, nVidia, nVidia GeForce GTX 280, Performance

April 21, 2011 by hgpu

Fine-sorting One-dimensional Particle-In-Cell Algorithm with Monte-Carlo Collisions on a Graphics Processing Unit

Philipp Mertmann, Denis Eremin, Thomas Mussenbrock, Ralf Peter Brinkmann, Peter Awakowicz

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Tags: Algorithms, Computational Physics, CUDA, nVidia, nVidia GeForce GTX 480, Particle-in-cell methods, Physics, Plasma physics, Sorting

April 21, 2011 by hgpu

Exploring scalability of FIR filter realizations on Graphics Processing Units

J. Rebacz, E. Oruklu, J. Saniie

Tags: CUDA, Filtering, nVidia, Signal processing

April 20, 2011 by hgpu

Stream processing of moment invariants for real-time classifiers

C.H. Messom, A.L.C. Barczak

Tags: Algorithms, Computer science

April 20, 2011 by hgpu

A GPU-based calculation using the three-dimensional FDTD method for electromagnetic field analysis

T. Nagaoka, S. Watanabe

Tags: CUDA, Electrodynamics, FDTD, Finite-difference time-domain, Medicine, nVidia, Tesla C1060

April 20, 2011 by hgpu

Accelerating Linpack Performance with Mixed Precision Algorithm on CPU+GPGPU Heterogeneous Cluster

Wang Lei, Zhang Yunquan, Zhang Xianyi, Liu Fangfang

Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, Linear Algebra, Mixed precision, nVidia, nVidia GeForce GTX 295, Tesla C1060

April 20, 2011 by hgpu

Compressing Floating-Point Number Stream for Numerical Applications

Hisanobu Tomari, Mary Inaba, Kei Hiraki

Tags: Algorithms, Compression, Computer science, FFT, FPGA, Matrix multiplication

April 20, 2011 by hgpu

Single-Chip Heterogeneous Computing: Does the Future Include Custom Logic, FPGAs, and GPGPUs?

Eric S. Chung, Peter A. Milder, James C. Hoe, Ken Mai

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Tags: ASIC, ATI, ATI CAL, ATI Radeon HD 5870, Computer science, CUDA, FPGA, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Performance

April 19, 2011 by hgpu

A Hybrid Analytical DRAM Performance Model

George L. Yuan, Tor M. Aamodt

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Tags: Computer science, CUDA, Hardware Architecture, Memory, nVidia

April 19, 2011 by hgpu

A Task-centric Memory Model for Scalable Accelerator Architectures

John H. Kelm, Daniel R. Johnson, Steven S. Lumetta, Matthew I. Frank, Sanjay J. Patel

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Tags: Algorithms, Computer science, Hardware Architecture, Memory model

April 19, 2011 by hgpu

Dynamic warp formation: Efficient MIMD control flow on SIMD graphics hardware

Wilson W. L. Fung, Ivan Sham, George Yuan, Tor M. Aamodt

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Tags: Computer science, CUDA, Hardware Architecture, nVidia, nVidia GeForce 8800 GTX, Performance, Warp level parallelism

April 19, 2011 by hgpu

Dynamic detection of uniform and affine vectors in GPGPU computations

Sylvain Collange, David Defour, Yao Zhang

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Tags: Algorithms, Computer science, CUDA, Hardware Architecture, nVidia, Optimization, Tesla

April 19, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

A performance prediction model for the CUDA GPGPU platform

Fine-sorting One-dimensional Particle-In-Cell Algorithm with Monte-Carlo Collisions on a Graphics Processing Unit

Exploring scalability of FIR filter realizations on Graphics Processing Units

Stream processing of moment invariants for real-time classifiers

A GPU-based calculation using the three-dimensional FDTD method for electromagnetic field analysis

Accelerating Linpack Performance with Mixed Precision Algorithm on CPU+GPGPU Heterogeneous Cluster

Compressing Floating-Point Number Stream for Numerical Applications

Single-Chip Heterogeneous Computing: Does the Future Include Custom Logic, FPGAs, and GPGPUs?

A Hybrid Analytical DRAM Performance Model

A Task-centric Memory Model for Scalable Accelerator Architectures

Dynamic warp formation: Efficient MIMD control flow on SIMD graphics hardware

Dynamic detection of uniform and affine vectors in GPGPU computations

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