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Accelerating Quantum Monte Carlo Simulations with Emerging Architectures

Akila Gothandaraman

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Tags: Computer science, CUDA, FPGA, nVidia, QMC, Tesla C1060, Tesla C870, Thesis

February 24, 2011 by hgpu

Architectural Comparisons for a Quantum Monte Carlo Application

Akila Gothandaraman, Rick Weber, Gregory D. Peterson, Robert J. Hinde, Robert J. Harrison

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Tags: AMD FireStream 9170, ATI, Brook, Computer science, CUDA, FPGA, Monte Carlo simulation, nVidia, QMC, Tesla C1060

February 23, 2011 by hgpu

Production Floating Point Applications on FPGAs

Martin C. Herbordt, Bharat Sukhwani, Matt Chiu, Md. Ashfaq Khan

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Tags: Chemistry, Computer science, CUDA, FPGA, Molecular dynamics, Molecular modeling, nVidia, Tesla C1060

February 22, 2011 by hgpu

Accelerating Particle Image Velocimetry Using Hybrid Architectures

Vivek Venugopal, Cameron D. Patterson, Kevin Shinpaugh

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Tags: Computer science, CUDA, FPGA, nVidia, Tesla C1060, Visualization

February 19, 2011 by hgpu

GPU Accelerated Scalable Parallel Random Number Generators

Shuang Gao, Gregory D. Peterson

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Tags: Computer science, CUDA, FPGA, nVidia, nVidia GeForce GTX 480, Pseudo-random number generators, Tesla S1060

February 19, 2011 by hgpu

Efficiency Considerations of Cauchy Reed-Solomon Implementations on Accelerator and Multi-Core Platforms

Thomas Steinke, Kathrin Peter, and Sebastian Borchert

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Tags: Cell processor, Computer science, CUDA, Error recovery, FPGA, nVidia, Tesla C1060, Tesla C870

February 19, 2011 by hgpu

Power-aware Performance of Mixed Precision Linear Solvers for FPGAs and GPGPUs

JunKyu Lee, Junqing Sun, Gregory D. Peterson, Robert J. Harrison, Robert J. Hinde

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Tags: Computer science, Energy-efficient computing, FPGA, Linear Algebra, Mixed precision, nVidia, Performance, Tesla C1060

February 18, 2011 by hgpu

Accelerating Double Precision Floating-point Hessenberg Reduction on FPGA and Multicore Architectures

Miaoqing Huang, Lingyuan Wang, Tarek El-Ghazawi

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Tags: Computer science, CUDA, Extended precision, FPGA, nVidia, nVidia GeForce GTX 480, OpenMP, Performance, Tesla C1060

February 18, 2011 by hgpu

Performance Comparison of Cholesky Decomposition on GPUs and FPGAs

Depeng Yang, Junqing Sun, JunKu Lee, Getao Liang, David D. Jenkins, Gregory D. Peterson, and Husheng Li

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Tags: Computer science, FPGA, Matrix decomposition, nVidia, nVidia GeForce GTX 480, OpenCL, Performance

February 18, 2011 by hgpu

An FPGA-based Torus Communication Network

Marcello Pivanti, Sebastiano Fabio Schifano, Hubert Simma

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Tags: FPGA, High Energy Physics - Lattice, Network communications, Networks, Physics

February 14, 2011 by hgpu

Comparing FPGAs to Graphics Accelerators and the Playstation 2 Using a Unified Source Description

Lee W. Howes, Paul Price, Oskar Mencer, Olav Beckmann, Oliver Pell

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Tags: Cg, Computer science, FPGA, nVidia, nVidia GeForce 6800 Ultra, Playstation, Review

February 10, 2011 by hgpu

Axel: a heterogeneous cluster with FPGAs and GPUs

Kuen Hung Tsoi, Wayne Luk

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Tags: Computer science, CUDA, FPGA, GPU cluster, Heterogeneous systems, nVidia, OpenMPI, Tesla C1060

February 7, 2011 by hgpu

CL4SE: A Context Learning Benchmark For Software Engineering Tasks

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel Generations

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Generating Literature-Driven Scientific Theories at Scale

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high performance computing on graphics processing units: hgpu.org

Accelerating Quantum Monte Carlo Simulations with Emerging Architectures

Architectural Comparisons for a Quantum Monte Carlo Application

Production Floating Point Applications on FPGAs

Accelerating Particle Image Velocimetry Using Hybrid Architectures

GPU Accelerated Scalable Parallel Random Number Generators

Efficiency Considerations of Cauchy Reed-Solomon Implementations on Accelerator and Multi-Core Platforms

Power-aware Performance of Mixed Precision Linear Solvers for FPGAs and GPGPUs

Accelerating Double Precision Floating-point Hessenberg Reduction on FPGA and Multicore Architectures

Performance Comparison of Cholesky Decomposition on GPUs and FPGAs

An FPGA-based Torus Communication Network

Comparing FPGAs to Graphics Accelerators and the Playstation 2 Using a Unified Source Description

Axel: a heterogeneous cluster with FPGAs and GPUs

Recent source codes

CL4SE: A Context Learning Benchmark For Software Engineering Tasks

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Vortex-Optimized Light-weight Toolchain (VOLT)

SciDef: Automated Definition Extraction from Scientific Literature

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

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