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Mapping of a film grain removal algorithm to a heterogeneous reconfigurable architecture

Sean Whitty, Henning Sahlbach, Rolf Ernst, Wolfram Putzke-Roming

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Tags: Algorithms, FPGA, Heterogeneous systems, Image processing

August 1, 2011 by hgpu

Towards an embedded biologically-inspired machine vision processor

Vinay Sriram, David Cox, Kuen Hung Tsoi, Wayne Luk

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Tags: Algorithms, ASIC, Computer science, Computer vision, FPGA, Image recognition, nVidia, Tesla C1060

August 1, 2011 by hgpu

A parallel accelerator for semantic search

Abhinandan Majumdar, Srihari Cadambi, Srimat T. Chakradhar, Hans Peter Graf

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Tags: Algorithms, Computer science, CUDA, Data parallelism, Databases, FPGA, nVidia, Semantic indexing, Tesla C1060

July 30, 2011 by hgpu

FPGA Accelerated Simulation of Biologically Plausible Spiking Neural Networks

David B. Thomas, Wayne Luk

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Tags: Computer science, CUDA, FPGA, Neural networks, nVidia, nVidia GeForce GT 200, Performance

July 29, 2011 by hgpu

Real-time Semi-Global Matching on the CPU

Stefan K. Gehrig, Clemens Rabe

Tags: Algorithms, Computer science, Computer vision, FPGA, nVidia, nVidia GeForce 8800 Ultra, Performance, Stereo vision

July 28, 2011 by hgpu

A Coarse Grain Reconfigurable Architecture for sequence alignment problems in bio-informatics

Pei Liu, A. Hemani

Tags: Algorithms, Bioinformatics, Biology, FPGA, Sequence alignment, Smith-Waterman algorithm

July 25, 2011 by hgpu

Bridging the Gap between FPGAs and Multi-Processor Architectures: A Video Processing Perspective

Ben Cope, Peter Y.K. Cheung, Wayne Luk

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Tags: Algorithms, Cg, Computer science, FPGA, GLSL, nVidia, nVidia GeForce 7800 GTX, OpenGL, Performance

July 24, 2011 by hgpu

Accelerating high-level engineering computations by automatic compilation of Geometric Algebra to hardware accelerators

Jens Huthmann, Peter Muller, Florian Stock, Dietmar Hildenbrand, Andreas Koch

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Tags: CAD, Computer science, FPGA, nVidia, nVidia GeForce GTX 280

July 18, 2011 by hgpu

Dynamic scheduling Monte-Carlo framework for multi-accelerator heterogeneous clusters

Anson H.T. Tse, David B. Thomas, K.H. Tsoi, Wayne Luk

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Tags: Computer science, CUDA, FPGA, Heterogeneous systems, Monte Carlo simulation, nVidia, Tesla C1060

July 17, 2011 by hgpu

Fast and Efficient FPGA-Based Feature Detection Employing the SURF Algorithm

Dimitris Bouris, Antonis Nikitakis, Ioannis Papaefstathiou

Tags: Computer vision, FPGA, Image processing

July 14, 2011 by hgpu

A Sparse Matrix Personality for the Convey HC-1

Krishna K. Nagar, Jason D. Bakos

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Tags: Computer science, CUDA, FPGA, nVidia, Performance, Sparse matrix, Tesla S1070

July 14, 2011 by hgpu

Option pricing with multi-dimensional quadrature architectures

Anson H.T. Tse, David B. Thomas, Wayne Luk

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Tags: Finance, FPGA, nVidia, nVidia GeForce 8600 GT, Performance, Tesla C1060

July 14, 2011 by hgpu

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

The Fused Kernel Library: A C++ API to Develop Highly-Efficient GPU Libraries

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

Block: Balancing Load in LLM Serving with Context, Knowledge and Predictive Scheduling

SIGMo: Scalable Isomorphism Graph Matching on GPUs

SIGMo: High-Throughput Batched Subgraph Isomorphism on GPUs for Molecular Matching

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

DGEMM without FP64 Arithmetic – using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

GEAK-agent: LLM-based AI agent, which can write correct and efficient GPU kernels automatically

Geak: Introducing Triton Kernel AI Agent & Evaluation Benchmarks

OpenDwarfs 2025: re-engineered version of the OpenDwarfs benchmark suite, for compatibility with modern platforms

OpenDwarfs 2025: Modernizing the OpenDwarfs Benchmark Suite for Heterogeneous Computing

Specx: Speculative task-based runtime system

Specx: a C++ task-based runtime system for heterogeneous distributed architectures

Mutual-Supervised Learning for Sequential-to-Parallel Code Translation

See all packages

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high performance computing on graphics processing units: hgpu.org

Mapping of a film grain removal algorithm to a heterogeneous reconfigurable architecture

Towards an embedded biologically-inspired machine vision processor

A parallel accelerator for semantic search

FPGA Accelerated Simulation of Biologically Plausible Spiking Neural Networks

Real-time Semi-Global Matching on the CPU

A Coarse Grain Reconfigurable Architecture for sequence alignment problems in bio-informatics

Bridging the Gap between FPGAs and Multi-Processor Architectures: A Video Processing Perspective

Accelerating high-level engineering computations by automatic compilation of Geometric Algebra to hardware accelerators

Dynamic scheduling Monte-Carlo framework for multi-accelerator heterogeneous clusters

Fast and Efficient FPGA-Based Feature Detection Employing the SURF Algorithm

A Sparse Matrix Personality for the Convey HC-1

Option pricing with multi-dimensional quadrature architectures

Recent source codes

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

SIGMo: Scalable Isomorphism Graph Matching on GPUs

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

GEAK-agent: LLM-based AI agent, which can write correct and efficient GPU kernels automatically

OpenDwarfs 2025: re-engineered version of the OpenDwarfs benchmark suite, for compatibility with modern platforms

Specx: Speculative task-based runtime system

Mutual-Supervised Learning for Sequential-to-Parallel Code Translation

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