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Binaural Simulations Using Audio Rate FDTD Schemes and CUDA

Craig J. Webb, Stefan Bilbao

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Tags: Acoustics, Computer science, CUDA, FDTD, Finite-difference time-domain, nVidia, Tesla C2050

September 20, 2012 by hgpu

On Binaural Spatialization and the Use of GPGPU for Audio Processing

Davide Andrea Mauro

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Tags: Acoustics, CUDA, DSP, FFT, nVidia, nVidia GeForce 9400 M GS, OpenCL, Signal processing, Thesis

July 31, 2012 by hgpu

Parallel implementation of a ray tracer for underwater sound waves using the cuda libraries: description and application to the simulation of underwater networks

Matteo Lazzarin

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Tags: Acoustics, Computational Complexity, CUDA, nVidia, nVidia GeForce GT 540 M, nVidia GeForce GTX 580, Physics, Raytracing, Thesis

May 15, 2012 by hgpu

Graphics Processing Unit Audio Signals Processing in Pure Data and PdCUDA an Implementation with the CUDA Runtime API

Charles Z. Henry

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Tags: Acoustics, CUDA, nVidia, Signal processing

May 1, 2012 by hgpu

Graphical Processing Units (GPU)-based modeling for Acoustic and Ultrasonic NDE

Nahas Cheruvallykudy, Krishnan Balasubramaniam, Prabhu Rajagopal

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Tags: Acoustics, CUDA, FDTD, Finite difference, Finite-difference time-domain, nVidia, nVidia GeForce 9800 GT, Physics

April 21, 2012 by hgpu

On CUDA implementation of a multichannel room impulse response reshaping algorithm based on p-norm optimization

Radoslaw Mazur, Jan Ole Jungmann, Alfred Mertins

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Tags: Acoustics, Algorithms, Computer science, CUDA, nVidia, Optimization, Tesla M2050

January 30, 2012 by hgpu

Toward a Practical Implementation of Exemplar-Based Noise Robust ASR

Jort Gemmeke, Antti Hurmalainen, Tuomas Virtanen, Sun Yang

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Tags: Acoustics, Computer science, nVidia, nVidia GeForce GTX 460, Speech recognition

January 29, 2012 by hgpu

Using a GPU, Online Diarization – Offline Diarization

Gerald Friedland

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Tags: Acoustics, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Speech recognition

January 26, 2012 by hgpu

Fast Speaker Diarization Using a Specialization Framework for Gaussian Mixture Model Training

Ekaterina Gonina

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Tags: Acoustics, Algorithms, Clustering, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Package, Python, Thesis

December 31, 2011 by hgpu

High performance computing for linear acoustic wave simulation

Fouad Butt

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Tags: Acoustics, Finite difference, GLSL, nVidia, nVidia GeForce GTX 280, OpenGL, Physics

December 13, 2011 by hgpu

Computing room acoustics with CUDA-3D FDTD schemes with boundary losses and viscosity

Craig J. Webb, Stefan Bilbao

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Tags: Acoustics, Computer science, CUDA, FDTD, Finite difference, Finite-difference time-domain, Numerical simulation, nVidia, Tesla C1060, Tesla C2050

November 27, 2011 by hgpu

Scalable Simulation of 3D Wave Propagation in Semi-Infinite Domains Using the Finite Difference Method on a GPU Based Cluster

Thales Luis Rodrigues Sabino, Marcelo Zamith, Diego Brandao, Anselmo Montenegro, Esteban Clua, Maurcio Kischinhevksy, Regina C.P. Leal-Toledo, Otton T. Silveira Filho, Andre Bulcao

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Tags: Acoustics, CUDA, Earth and Space Sciences, Finite difference, nVidia, Tesla C1060

November 24, 2011 by hgpu

CLUEstering: a high-performance density-based clustering library for scientific computing

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

PyOMP: Parallel programming for CPUs and GPUs with OpenMP and Python

HiRep

Scaling SU(2) to 1000 GPUs using HiRep

GPPerf: Energy-Aware GPU Performance Prediction and Optimization Framework

Understanding GEMM Performance and Energy on NVIDIA Ada Lovelace: A Machine Learning-Based Analytical Approach

gpuPairHMM: Ultra-fast GPU-based PairHMM for DNA Variant Calling

gpuPairHMM: High-speed Pair-HMM Forward Algorithm for DNA Variant Calling on GPUs

Gaia AVU-GSR

Performance portability via C++ PSTL, SYCL, OpenMP, and HIP: the Gaia AVU-GSR case study

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

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