Programming

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Parallel implementation of a spiking neuronal network model of unsupervised olfactory learning on NVidia CUDA

T. Nowotny

Tags: Biology, CUDA, Neural networks, nVidia, Tesla C870

July 8, 2011 by hgpu

Hybrid Core Acceleration of UWB SIRE Radar Signal Processing

Song Jun Park, James A. Ross, Dale R. Shires, David A. Richie, Brian J. Henz, Lam H. Nguyen

Tags: ATI, Brook, CUDA, Heterogeneous systems, nVidia, Signal processing

July 8, 2011 by hgpu

High Performance Remote Sensing Image Processing Using CUDA

Xiaoshu Si, Hong Zheng

Tags: CUDA, Image processing, nVidia, Sensing

July 8, 2011 by hgpu

Enhanced implementation of the NTRUEncrypt algorithm using graphics cards

A.A. Kamal, A.M. Youssef

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 275, Security

July 7, 2011 by hgpu

Parallelizing FPGA Technology Mapping Using Graphics Processing Units (GPUs)

Doris Chen, Deshanand Singh

Tags: Algorithms, Computer science, FPGA

July 7, 2011 by hgpu

Acceleration of Streamed Tensor Contraction Expressions on GPGPU-Based Clusters

Wenjing Ma, Sriram Krishnamoorthy, Oreste Villa, Karol Kowalski

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Tags: Computational chemistry, Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, Presentation, Tesla C1070, Tesla S1070

July 7, 2011 by hgpu

Comparing performance and energy efficiency of FPGAs and GPUs for high productivity computing

Brahim Betkaoui, David B. Thomas, Wayne Luk

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Tags: Computer science, CUDA, Energy-efficient computing, FPGA, nVidia, Performance, Tesla C1060

July 7, 2011 by hgpu

Optimization of a FDTD code for graphical processing units

P. Sypek, M. Mrozowski

Tags: Algorithms, Electrodynamics, FDTD, Finite-difference time-domain, Optimization

July 7, 2011 by hgpu

Pricing of cross-currency interest rate derivatives on Graphics Processing Units

Duy Minh Dang

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Tags: CUDA, Finance, nVidia, Presentation, Tesla C870

July 7, 2011 by hgpu

High precision integer multiplication with a graphics processing unit

N. Emmart, C. Weems

Tags: Algorithms, Computer science, Extended precision, FFT, nVidia

July 7, 2011 by hgpu

An Adaptive Hybrid Multiprocessor technique for bioinformatics sequence alignment

T. Bonny, M.A. Zidan, K.N. Salama

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Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia Quadro FX 4800, Sequence alignment, Smith-Waterman algorithm

July 7, 2011 by hgpu

Graphics Processing Unit Accelerated O(N) Micromagnetic Solver

Shaojing Li, Boris Livshitz, Vitaliy Lomakin

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Tags: CUDA, Electrodynamics, Finite difference, nVidia, nVidia GeForce GTX 280

July 7, 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

Programming

Parallel implementation of a spiking neuronal network model of unsupervised olfactory learning on NVidia CUDA

Hybrid Core Acceleration of UWB SIRE Radar Signal Processing

High Performance Remote Sensing Image Processing Using CUDA

Enhanced implementation of the NTRUEncrypt algorithm using graphics cards

Parallelizing FPGA Technology Mapping Using Graphics Processing Units (GPUs)

Acceleration of Streamed Tensor Contraction Expressions on GPGPU-Based Clusters

Comparing performance and energy efficiency of FPGAs and GPUs for high productivity computing

Optimization of a FDTD code for graphical processing units

Pricing of cross-currency interest rate derivatives on Graphics Processing Units

High precision integer multiplication with a graphics processing unit

An Adaptive Hybrid Multiprocessor technique for bioinformatics sequence alignment

Graphics Processing Unit Accelerated O(N) Micromagnetic Solver

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Tutoring LLM into a Better CUDA Optimizer

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

Kernel Library for LLM Serving

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

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