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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

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

GPU plugin for PySCF

Python-Based Quantum Chemistry Calculations with GPU Acceleration

QArray

QArray: a GPU-accelerated constant capacitance model simulator for large quantum dot arrays

Celerity: High-level C++ for Accelerator Clusters

Balancing Tracking Granularity and Parallelism in Many-Task Systems: The Horizons Approach

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

Parallel Gaussian process with kernel approximation in CUDA

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