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Dynamic autotuning of adaptive fast multipole methods on hybrid multicore CPU & GPU systems

Marcus Holm, Stefan Engblom, Anders Goude, Sverker Holmgren

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Tags: Computer science, CUDA, Fast multipole method, nVidia, Package, Performance, Tesla M2050

November 6, 2013 by hgpu

Comparative Performance Analysis of Intel Xeon Phi, GPU, and CPU

George Teodoro, Tahsin Kurc, Jun Kong, Lee Cooper, Joel Saltz

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Tags: Computer science, CUDA, Intel Phi, Intel Xeon Phi, Microscopy, nVidia, OpenMP, Performance, Task scheduling, Tesla K20

November 6, 2013 by hgpu

Computer Graphics: From Pixels to Programmable Graphics Hardware

Alexey Boreskov, Evgeniy Shikin

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Tags: 3D Graphics and Realism, Algorithms, Book, Computer science, CUDA, Games, nVidia, OpenCL, OpenGL, Overview, Real-time graphics, Rendering, Tessellation, Tutorial

November 6, 2013 by hgpu

Parallelizing Alternating Direction Implicit Solver on GPUs

Zhangping Wei, Byunghyun Jang, Yaoxin Zhang, Yafei Jia

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Performance

November 6, 2013 by hgpu

Development of Generic Scheduling Concepts for OpenGL ES 2.0

Waqas Tanveer

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Tags: Computer science, OpenGL, Rendering, Thesis

November 6, 2013 by hgpu

Accelerating Dissipative Particle Dynamics Simulations on GPUs: Algorithms, Numerics and Applications

Yu-Hang Tang, George Em Karniadakis

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Tags: Algorithms, Computational Physics, Computer science, CUDA, MPI, nVidia, Tesla K20

November 6, 2013 by hgpu

Batch Method for Efficient Resource Sharing in Real-time Multi-GPU Systems

Uri Verner, Avi Mendelson, Assaf Schuster

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Tags: Computer science, CUDA, nVidia, OpenCL, Performance, Task scheduling, Tesla C2050, Tesla K10

November 4, 2013 by hgpu

DynaProg for Scala: A Scala DSL for Dynamic Programming on CPU and GPU

Thierry Coppey

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Tags: Computer science, CUDA, Heterogeneous systems, High-level Languages, nVidia, nVidia GeForce GT 650 M, Package, RNA, Smith-Waterman algorithm

November 4, 2013 by hgpu

OpenCUDA+MPI: A Framework for Heterogeneous GP-GPU Distributed Computing

Kenny Ballou, Nilab Mohammad Mousa

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Tags: Computer science, CUDA, Distributed computing, Heterogeneous systems, MPI, nVidia

November 4, 2013 by hgpu

PAKCK: Performance and Power Analysis of Key Computational Kernels on CPUs and GPUs

Julia S. Mullen, Michael M. Wolf, Anna Klein

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Tags: Computer science, CUDA, Energy-efficient computing, nVidia, Tesla C2075

November 3, 2013 by hgpu

Parallel CPU and GPU computations to solve the job shop scheduling problem with blocking

Abdelhakim AitZai, Adel Dabah, Mourad Boudhar

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Tags: Computer science, CUDA, Graph theory, nVidia, nVidia Quadro 2000, Task scheduling

November 3, 2013 by hgpu

A Fast and Secure Way to Prevent SQL Injection Attacks using Bitslice Technique and GPU Support

Piyush Mittal

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Tags: AES, Computer science, CUDA, Databases, nVidia, nVidia GeForce 9600 M, nVidia GeForce 9800 GT, nVidia GeForce GTX 460, Security, Thesis

November 3, 2013 by hgpu

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Accelerating a Linear Programming Algorithm on AMD GPUs

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Towards Efficient and Practical GPU Multitasking in the Era of LLM

Bandicoot: C++ library for GPU accelerated linear algebra

Bandicoot: A Templated C++ Library for GPU Linear Algebra

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

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high performance computing on graphics processing units: hgpu.org

Dynamic autotuning of adaptive fast multipole methods on hybrid multicore CPU & GPU systems

Comparative Performance Analysis of Intel Xeon Phi, GPU, and CPU

Computer Graphics: From Pixels to Programmable Graphics Hardware

Parallelizing Alternating Direction Implicit Solver on GPUs

Development of Generic Scheduling Concepts for OpenGL ES 2.0

Accelerating Dissipative Particle Dynamics Simulations on GPUs: Algorithms, Numerics and Applications

Batch Method for Efficient Resource Sharing in Real-time Multi-GPU Systems

DynaProg for Scala: A Scala DSL for Dynamic Programming on CPU and GPU

OpenCUDA+MPI: A Framework for Heterogeneous GP-GPU Distributed Computing

PAKCK: Performance and Power Analysis of Key Computational Kernels on CPUs and GPUs

Parallel CPU and GPU computations to solve the job shop scheduling problem with blocking

A Fast and Secure Way to Prevent SQL Injection Attacks using Bitslice Technique and GPU Support

Recent source codes

CrossTL: Universal Programming Language & Translator

TBD-GPU

DG-SWEM - The Discontinuous Galerkin Shallow Water Equation Model

torchPDLP: Primal-Dual Linear Programming in PyTorch. In collaboration with AMD and IPAM

Benchmarks for Dissecting CPU-GPU Unified Physical Memory on AMD MI300A APUs

kvcached: Elastic KV cache for dynamic GPU sharing and efficient multi-LLM inference

Bandicoot: C++ library for GPU accelerated linear algebra

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

Fused Kernel Library (FKL)

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

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