high performance computing on graphics processing units: hgpu.org

hgpu.org » Thesis

Programming-Model Centric Debugging for Multicore Embedded Systems

Kevin Pouget

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Tags: Computer science, CUDA, H.264/AVC, nVidia, OpenCL, Programming techniques, Tesla K20, Thesis, Video decoding

July 11, 2014 by hgpu

Algorithms and Data Structures for Interactive Ray Tracing on Commodity Hardware

Stefan Popov

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, KD-tree, nVidia, nVidia GeForce 8800 GTX, Raytracing, Rendering, Thesis

July 11, 2014 by hgpu

Utilizing state-of-art NeuroES and GPGPU to optimize Mario AI

Hasse Lovgren

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Tags: ATI, ATI Radeon HD 5870, Computer science, Mathematics, Neural networks, nVidia, nVidia GeForce GTX 580, OpenCL, Package, Performance, Tesla C1060, Thesis

July 9, 2014 by hgpu

Tile Based Procedural Terrain Generation in Real-Time

David Grelsson

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Tags: 3D Graphics and Realism, Algorithms, Computer science, DirectX, Games, nVidia, nVidia GeForce GTX 460, Thesis

July 9, 2014 by hgpu

GiMMiK – Generating Bespoke Matrix Multiplication Kernels for Various Hardware Accelerators; Applications in High-Order Computational Fluid Dynamics

Bartosz D. Wozniak

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Tags: CUBLAS, CUDA, Fluid dynamics, Linear Algebra, Matrix multiplication, nVidia, OpenCL, Package, Python, Tesla K40, Thesis

July 7, 2014 by hgpu

Parallelization of the Symmetric Indefinite Factorization

Anastasia Kruchinina

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Tags: Algorithms, Computer science, CUDA, Factorization, Mathematics, Nonlinear optimization, nVidia, Tesla S2050, Thesis

July 7, 2014 by hgpu

Fast and Efficient Lossless Image Compression Based on CUDA Parallel Wavelet Tree Encoding

Jingqi Ao

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Tags: Algorithms, Compression, CUDA, Image processing, nVidia, nVidia GeForce GTX 570, Thesis, Wavelet

July 7, 2014 by hgpu

High-level Parallel Programming Support for Heterogeneous Systems

Bo Wu

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Tags: Computer science, CUDA, Heterogeneous systems, Memory model, nVidia, OpenCL, Tesla C2050, Thesis

July 6, 2014 by hgpu

Exploiting parallel features of modern computer architectures in bioinformatics: applications to genetics, structure comparison and large graph analysis

Guillaume Chapuis

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Tags: Algorithms, Bioinformatics, Biology, CUDA, Genetics, Graph theory, nVidia, Path problems, Tesla C2050, Thesis

July 3, 2014 by hgpu

High-Level Programming Framework for Executing Streaming Applications on Heterogeneous OpenCL Platforms

Matthias Baer

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Tags: ATI, ATI Radeon HD 7750, Computer science, Heterogeneous systems, OpenCL, Thesis

July 1, 2014 by hgpu

Performance and Efficiency Analysis of Modern Accelerators: Fine-Grained Parallelism on the Intel Xeon Phi

Robrecht Dewaele

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Tags: Benchmarking, Computer science, Intel Xeon Phi, Package, Performance, Thesis

June 28, 2014 by hgpu

Industrial Robot Collision Handling in Harsh Environments

Knut Berg Kaldestad

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Tags: Algorithms, Collision detection, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 680, Thesis

June 27, 2014 by hgpu

CFAL-bench

Comparing Parallel Functional Array Languages: Programming and Performance

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

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high performance computing on graphics processing units: hgpu.org

Programming-Model Centric Debugging for Multicore Embedded Systems

Algorithms and Data Structures for Interactive Ray Tracing on Commodity Hardware

Utilizing state-of-art NeuroES and GPGPU to optimize Mario AI

Tile Based Procedural Terrain Generation in Real-Time

GiMMiK – Generating Bespoke Matrix Multiplication Kernels for Various Hardware Accelerators; Applications in High-Order Computational Fluid Dynamics

Parallelization of the Symmetric Indefinite Factorization

Fast and Efficient Lossless Image Compression Based on CUDA Parallel Wavelet Tree Encoding

High-level Parallel Programming Support for Heterogeneous Systems

Exploiting parallel features of modern computer architectures in bioinformatics: applications to genetics, structure comparison and large graph analysis

High-Level Programming Framework for Executing Streaming Applications on Heterogeneous OpenCL Platforms

Performance and Efficiency Analysis of Modern Accelerators: Fine-Grained Parallelism on the Intel Xeon Phi

Industrial Robot Collision Handling in Harsh Environments

Recent source codes

CFAL-bench

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

PELSI: Power-Efficient Layer-Switched Inference

Ouroboros: Virtualized Queues for dynamic memory management

MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

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