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Multidimensional Costas Arrays and Their Enumeration Using GPUs and FPGAs

Rafael A. Arce-Nazario, Jose Ortiz-Ubarri

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Tags: Computer science, CUDA, FPGA, nVidia, nVidia GeForce GTX 580

November 24, 2012 by hgpu

Reusable OpenCL FPGA Infrastructure

Stephen Alexander Chin

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Tags: Computer science, FPGA, Heterogeneous systems, OpenCL, Thesis

November 8, 2012 by hgpu

Kernel Specialization for Improved Adaptability and Performance on Graphics Processing Units (GPUs)

Nicholas John Moore

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Tags: Computer science, CUDA, FPGA, Image reconstruction, nVidia, Optimization, Tesis, Tesla C1060, Tesla C2070

October 26, 2012 by hgpu

Automatic Generation Of Application-Specific Accelerators for FPGAs from Python Loop Nests

David Sheffield, Michael Anderson, Kurt Keutzer

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Source codes

Tags: Computer science, Design space exploration, FPGA, Package, Python

October 25, 2012 by hgpu

Modular & Scalable Ultrasound Platform with GPU Processing

M. Lewandowski, M. Walczak, B. Witek, P. Kulesza, K. Sielewicz

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Tags: CUDA, FPGA, nVidia, nVidia GeForce GTX 580, Signal processing, Ultrasound

October 25, 2012 by hgpu

Floating-Point Arithmetic in Transport Triggered Architectures

Timo Viitanen

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Tags: Computer science, FPGA, OpenCL, Thesis

October 24, 2012 by hgpu

Stereo Matching using Multi-Resolution Images on CUDA

Sudhakar Sah, Nikhil Jotwani

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Tags: CUDA, FPGA, Image processing, nVidia, nVidia GeForce GTX 480

October 22, 2012 by hgpu

FPGA-GPU-CPU Heterogenous Architecture for Real-time Cardiac Physiological Optical Mapping

Pingfan Meng, Matthew Jacobsen, Ryan Kastner

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Tags: Algorithms, CUDA, FPGA, Image processing, Medicine, nVidia, nVidia GeForce GTX 590

October 13, 2012 by hgpu

Enabling Development of OpenCL Applications on FPGA platforms

Kavya Subraya Shagrithaya

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Tags: Computer science, FPGA, OpenCL, Thesis

September 26, 2012 by hgpu

Direct GPU/FPGA Communication Via PCI Express

Ray Bittner, Erik Ruf

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Tags: Computer science, CUDA, FPGA, nVidia, nVidia GeForce GTX 580

September 19, 2012 by hgpu

A GPGPU Implementation of Approximate String Matching with Regular Expression Operators and Comparison with Its FPGA Implementation

Yuichiro Utan, Masato Inagi, Shin'ichi Wakabayashi, Shinobu Nagayama

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Tags: Algorithms, Computer science, CUDA, Databases, FPGA, nVidia, String matching, Tesla C2070

September 5, 2012 by hgpu

Case Studies in Acceleration of Heston’s Stochastic Volatility Financial Engineering Model: GPU, Cloud and FPGA Implementations

Christos Delivorias

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Tags: Cloud, CUDA, Finance, FPGA, nVidia, Tesla K10, Thesis

August 30, 2012 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Multidimensional Costas Arrays and Their Enumeration Using GPUs and FPGAs

Reusable OpenCL FPGA Infrastructure

Kernel Specialization for Improved Adaptability and Performance on Graphics Processing Units (GPUs)

Automatic Generation Of Application-Specific Accelerators for FPGAs from Python Loop Nests

Modular & Scalable Ultrasound Platform with GPU Processing

Floating-Point Arithmetic in Transport Triggered Architectures

Stereo Matching using Multi-Resolution Images on CUDA

FPGA-GPU-CPU Heterogenous Architecture for Real-time Cardiac Physiological Optical Mapping

Enabling Development of OpenCL Applications on FPGA platforms

Direct GPU/FPGA Communication Via PCI Express

A GPGPU Implementation of Approximate String Matching with Regular Expression Operators and Comparison with Its FPGA Implementation

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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