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Efficient implementation of multiuser precoding algorithms on GPU for MIMO-OFDM systems

Fernando Domene, Sandra Roger, Carla Ramiro, Gema Pinero, Alberto Gonzalez

Tags: Algorithms, CUDA, MIMO, nVidia, nVidia Quadro FX 5800, Signal processing

January 16, 2013 by hgpu

On the Use of Graphic Processing Units for the Efficient Implementation of MIMO Detectors

Sandra Roger, Carla Ramiro, Alberto Gonzalez, Vicenc Almenar, Antonio M. Vidal

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Tags: Algorithms, CUDA, MIMO, nVidia, Signal processing, Tesla C2070

January 16, 2013 by hgpu

Analytic Visibility on the GPU

T. Auzinger, M. Wimmer, S. Jescke

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, Image generation, nVidia, nVidia GeForce GTX 680, Rendering, Triangular meshes

January 16, 2013 by hgpu

Three Dimensional Fast Fourier Transform CUDA Implementation

Kumar Aatish, Boyan Zhang

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Tags: Algorithms, Computer science, CUDA, FFT, nVidia, Tesla C2050

January 15, 2013 by hgpu

Two Approaches to Particle Simulation: OpenMPI and CUDA

Bjorn Christian Seime, Matteo Mannino, Terje Runde

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Tags: Computer science, CUDA, MPI, N-body simulation, nVidia, nVidia GeForce GTX 280, OpenMPI, Particle simulation, Tesla C2050

January 15, 2013 by hgpu

Ray Tracing in Real-Time Games

J. Bikker

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, Games, Image generation, nVidia, nVidia GeForce GTX 470, Rasterization, Raytracing, Rendering, Thesis

January 15, 2013 by hgpu

Adaptive Dynamic Load Balancing in Heterogeneous Multiple GPUs-CPUs Distributed Setting: Case Study of B&B Tree Search

Trong-Tuan Vu, Bilel Derbel, Nouredine Melab

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Optimization, Performance, Tesla T10

January 14, 2013 by hgpu

HiDP: A Hierarchical Data Parallel Language

Yongpeng Zhang, Frank Mueller

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Tags: Algorithms, Computer science, CUDA, Data parallelism, High-level Languages, nVidia, nVidia GeForce GTX 480

January 13, 2013 by hgpu

A master-slave robotic simulator based on GPUDirect

Jianying. Li, Yu. Guo, Heye. Zhang, Yongming. Xie

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Tags: CUDA, Medicine, nVidia, Tesla S1070, Virtual reality

January 13, 2013 by hgpu

Acceleration of Selective Cationic Antibacterial Peptides computation: A comparison of FPGA and GPU approaches

D. Garcia-Ordaz, M. Arias-Estrada, M. Nuno-Maganda, C. Polanco, G. Del Rio

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Tags: Bioinformatics, Biology, CUDA, FPGA, nVidia, nVidia GeForce GT 230 M, nVidia GeForce GTX 480, Tesla M2070

January 13, 2013 by hgpu

Toward Practical Real-Time Photon Mapping: Efficient GPU Density Estimation

Michael Mara, David Luebke, Morgan McGuire

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, Image generation, nVidia, nVidia GeForce GTX 670, Rendering

January 13, 2013 by hgpu

Exploring Traditional and Emerging Parallel Programming Models using a Proxy Application

Ian Karlin, Abhinav Bhatele, Jeff Keasler, Bradford L. Chamberlain, Jonathan Cohen, Zachary DeVito, Riyaz Haque, Dan Laney, Edward Luke, Felix Wang, David Richards, Martin Schulz, Charles H. Still

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Tags: Computer science, CUDA, Heterogeneous systems, MPI, nVidia, Tesla M2050

January 13, 2013 by hgpu

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

Kokkidio: Fast, expressive, portable code, based on Kokkos and Eigen

LLaMA-Inference-Bench

LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Accelerators

MATAR

On a Simplified Approach to Achieve Parallel Performance and Portability Across CPU and GPU Architectures

Over-synchronization in GPU Programs

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

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