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A Visual Approach to Investigating Shared and Global Memory Behavior of CUDA Kernels

Paul Rosen

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Performance, Wavelet

June 24, 2013 by hgpu

An Energy Efficient GPGPU Memory Hierarchy with Tiny Incoherent Caches

Alamelu Sankaranarayanan, Ehsan K. Ardestani, Jose Luis Briz, Jose Renau

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Tags: Computer science, CUDA, Energy-efficient computing, GPGPU-sim, Memory, nVidia, OpenCL

June 24, 2013 by hgpu

Provably Efficient GPU Algorithms

Nodari Sitchinava, Volker Weichert

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Performance, Sorting

June 24, 2013 by hgpu

GPU Implementation of the DP code

F. Sottile, C. Roedl, V. Slavnic, P. Jovanovic, D. Stankovic, P. Kestener, F. Houssen

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Tags: Computer science, CUBLAS, CUDA, nVidia, Tesla M2090

June 23, 2013 by hgpu

CUDA Enhanced Simulated Annealing for Chip Layout Problem

David Macurak, Jeffrey Raynor, Michael Sodomsky

Tags: Algorithms, Computer science, CUDA, nVidia, OpenGL, Tesla M2050

June 22, 2013 by hgpu

Exploring GPGPUs Workload Characteristics and Power Consumption

Sohan Lal, Jan Lucas, Mauricio Alvarez-Mesa, Ahmed Elhossini, Ben Juurlink

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Tags: Computer science, CUDA, Energy-efficient computing, GPGPU-sim, nVidia, nVidia GeForce GTX 580, Performance

June 22, 2013 by hgpu

Virtualization and Migration with GPGPUs

Mathias Gottschlag

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Tags: Cloud, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Thesis, Virtualization

June 22, 2013 by hgpu

GPU Optimized Code for Long Term Simulations of Beam-beam Effects in Colliders

Y. Roblin, V. Morozov, B. Terzic, M. Aturban, D. Ranjan, M. Zubair

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Tags: CUDA, High Energy Physics - Experiment, nVidia, Physics, Tesla M2090

June 21, 2013 by hgpu

Parallel Language Programming In Different Platforms

Pau Vila Fernández

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Tags: Computer science, CUDA, OpenACC, OpenCL, Programming Languages, Thesis

June 21, 2013 by hgpu

Beam Dynamics Simulations with a GPU-accelerated Version of ELEGANT

K. Amyx, J. Balasalle, J. King, I.V. Pogorelov, M. Borland, R. Soliday

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Tags: CUDA, High Energy Physics - Experiment, nVidia, Physics, Tesla C2070

June 21, 2013 by hgpu

Applying the “Simple Accelerator Modelling in MATLAB” (SAMM) Code to High Luminosity LHC Upgrade

K.M. Hock, A. Wolski, R.B. Appleby

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Tags: CUDA, High Energy Physics - Experiment, nVidia, nVidia GeForce GTX 580, Physics

June 21, 2013 by hgpu

A Numerical Study of Continuous Data Assimilation for the 2D-NS Equations Using Nodal Points

Masakazu Gesho,

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Tags: CUDA, Fluid dynamics, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce GTS 450, Thesis

June 21, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

A Visual Approach to Investigating Shared and Global Memory Behavior of CUDA Kernels

An Energy Efficient GPGPU Memory Hierarchy with Tiny Incoherent Caches

Provably Efficient GPU Algorithms

GPU Implementation of the DP code

CUDA Enhanced Simulated Annealing for Chip Layout Problem

Exploring GPGPUs Workload Characteristics and Power Consumption

GPU Optimized Code for Long Term Simulations of Beam-beam Effects in Colliders

Parallel Language Programming In Different Platforms

Beam Dynamics Simulations with a GPU-accelerated Version of ELEGANT

Applying the “Simple Accelerator Modelling in MATLAB” (SAMM) Code to High Luminosity LHC Upgrade

A Numerical Study of Continuous Data Assimilation for the 2D-NS Equations Using Nodal Points

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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