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Research Areas
High Performance Computing
Associated Publications
GPU-Accelerated Atari Emulation for Reinforcement LearningNVGaze: An Anatomically-Informed Dataset for Low-Latency, Near-Eye Gaze Estimation
A Fast and Robust Method for Avoiding Self-Intersection
Massively Parallel Path Space Filtering
Metaoptimization on a Distributed System for Deep Reinforcement Learning
Massively Parallel Construction of Radix Tree Forests for the Efficient Sampling of Discrete Probability Distributions
Evaluating and Accelerating High-Fidelity Error Injection for HPC
Exploiting Idle Resources in a High-Radix Switch for Supplemental Storage
Fast, High Precision Ray/Fiber Intersection using Tight, Disjoint Bounding Volumes
Massively Parallel Stackless Ray Tracing of Catmull-Clark Subdivision Surfaces
CRUM: Checkpoint-Restart Support for CUDA's Unified Memory
Phantom Ray-Hair Intersector
Hamartia: A Fast and Accurate Error Injection Framework
AdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks
AdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks
Near-eye Light Field Holographic Rendering with Spherical Waves for Wide Field of View Interactive 3D Computer Graphics
Low Communication FMM-Accelerated FFT on GPUs
Parallel Jaccard and Related Graph Clustering Techniques
Fine-Grained DRAM: Energy-Efficient DRAM for Extreme Bandwidth Systems
Feedforward and Recurrent Neural Networks Backward Propagation and Hessian in Matrix Form
Exploiting Budan-Fourier and Vincent’s Theorems for Ray Tracing 3D Bézier Curves
Parallel Modularity Clustering
Parallel Modularity Clustering
Relaxations for High-Performance Message Passing on Massively Parallel SIMT Processors
The Iray Light Transport Simulation and Rendering System
SASSIFI: An Architecture-level Fault Injection Tool for GPU Application Resilience Evaluation
Parallel Depth-First Search for Directed Acyclic Graphs
Tensor Contractions with Extended BLAS Kernels on CPU and GPU
Tensor Contractions with Extended BLAS Kernels on CPU and GPU
Approxilyzer: Towards A Systematic Framework for Instruction-Level Approximate Computing and its Application to Hardware Resiliency
S-Step and Communication-Avoiding Iterative Methods
S-Step and Communication-Avoiding Iterative Methods
A Case for Toggle-Aware Compression for GPU Systems
Parallel Spectral Graph Partitioning
Parallel Spectral Graph Partitioning
Network Endpoint Congestion Control for Fine-Grained Communication
The Light Field Stereoscope
Parallel Graph Coloring with Applications to the Incomplete-LU Factorization on the GPU
Scaling the Power Wall: A Path to Exascale
Preconditioned Block-Iterative Methods on GPUs
Incomplete-LU and Cholesky Factorization in the Preconditioned Iterative Methods on the GPU
Scalable GPU Graph Traversal
Allocation-oriented Algorithm Design with Application to GPU Computing, Ph.D. Dissertation
Thrust: A Productivity-Oriented Library for CUDA
High Performance and Scalable GPU Graph Traversal
Parallel Solution of Sparse Triangular Linear Systems in the Preconditioned Iterative Methods on the GPU
A Survey of General-Purpose Computation on Graphics Hardware
Researchers
Aamer JaleelAnjul Patney
Benjamin Klenk
Charles Loop
Cris Cecka
David Nellans
Donghyuk Lee
Eiman Ebrahimi
Evgeny Bolotin
Hans Eberle
Isaac Gelado
Iuri Frosio
Josef Spjut
Ken Dahm
Matthias Blumrich
Michael Bauer
Michael Garland
Mike O'Connor
Nikolaus Binder
Niladrish Chatterjee
Oreste Villa
Samuli Laine
Saurav Muralidharan
Sean Treichler
Siva Hari
Steve Keckler
Steven Dalton
Ted Jiang
Timothy Tsai
William Dally
Yaosheng Fu
Zander Majercik