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From OpenCL to Gates: the FFT

Joao Andrade, Vitor Silva, Gabriel Falcao

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Tags: Algorithms, Computer science, FFT, FPGA, nVidia, nVidia GeForce GTX 680, OpenCL

September 28, 2013 by hgpu

Performance Improvement of Optical Algorithms on Multicore Platforms

Ratnakar Madan

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Tags: Algorithms, Computer science, CUDA, FPGA, nVidia, nVidia GeForce GTX 580, Optics, Thesis

September 28, 2013 by hgpu

The density matrix renormalization group algorithm on kilo-processor architectures: implementation and trade-offs

Csaba Nemes, Gergely Barcza, Zoltan Nagy, Ors Legeza, Peter Szolgay

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Tags: Algorithms, Condensed matter, CUDA, FPGA, Numerical Analysis, nVidia, nVidia GeForce GTX 570, Physics, Tesla K20

September 25, 2013 by hgpu

Bitcoin and The Age of Bespoke Silicon

Michael Bedford Taylor

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Tags: ASIC, ATI, Finance, FPGA, nVidia, OpenCL, Performance, Review

August 31, 2013 by hgpu

Analysis-Driven Design of Parallel Floating-Point Matrix Multiplication for Implementation in Reconfigurable Logic

Ahmad Khayyat

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Tags: Computer science, FPGA, Matrix multiplication, Thesis

August 24, 2013 by hgpu

Synthesis of Custom Networks of Heterogeneous Processing Elements for Complex Physical System Emulation

Chen Huang, Bailey Miller, Frank Vahid, Tony Givargis

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Tags: Computer science, CUDA, Differential equations, FPGA, Heterogeneous systems, nVidia, nVidia GeForce GTX 460, ODEs, Ordinary differential equations

August 23, 2013 by hgpu

GPU peer-to-peer techniques applied to a cluster interconnect

Roberto Ammendola, Massimo Bernaschi, Andrea Biagioni, Mauro Bisson, Massimiliano Fatica, Ottorino Frezza, Francesca Lo Cicero, Alessandro Lonardo, Enrico Mastrostefano, Pier Stanislao Paolucci, Davide Rossetti, Francesco Simula, Laura Tosoratto, Piero Vicini

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Tags: Computational Physics, CUDA, FPGA, MPI, nVidia, Physics, Tesla S2075

August 1, 2013 by hgpu

Fast Exhaustive Search for Quadratic Systems in F2 on FPGAs – Extended Version

Charles Bouillaguet, Chen-Mou Cheng, Tung Chou, Ruben Niederhagen, Bo-Yin Yang

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Tags: Algorithms, Computer science, FPGA, Security

July 25, 2013 by hgpu

Design Space Exploration of Real-time Bedside and Portable Medical Ultrasound Adaptive Beamformer Acceleration

Junying Chen

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Tags: Algorithms, CUDA, Design space exploration, FPGA, Medicine, nVidia, nVidia GeForce GTX 680, Thesis, Ultrasound

July 12, 2013 by hgpu

OpenCL for FPGAs: Prototyping a Compiler

Tomasz S. Czajkowski, David Neto, Michael Kinsner, Utku Aydonat, Jason Wong, Dmitry Denisenko, Peter Yiannacouras, John Freeman, Deshanand P. Singh, Stephen D. Brown

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Tags: Compilers, Computer science, FPGA, OpenCL

July 5, 2013 by hgpu

Automating elimination of idle functions by run-time reconfiguration

Xinyu Niu, Thomas C. P. Chau, Qiwei Jin, Wayne Luk, Qiang Liu

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Tags: Computer science, CUDA, FPGA, nVidia, Performance, Tesla C2070

June 6, 2013 by hgpu

Accelerating Fast Fourier Transform for Wideband Channelization

Carlo del Mundo, Vignesh Adhinarayanan, Wu-chun Feng

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Tags: ATI, ATI Radeon HD 5870, ATI Radeon HD 6970, ATI Radeon HD 7970, Computer science, FFT, FPGA, nVidia, OpenCL, Signal processing, Tesla C2075

June 6, 2013 by hgpu

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

Kokkidio: Fast, expressive, portable code, based on Kokkos and Eigen

LLaMA-Inference-Bench

LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Accelerators

MATAR

On a Simplified Approach to Achieve Parallel Performance and Portability Across CPU and GPU Architectures

Over-synchronization in GPU Programs

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

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