Hierarchical Computation in the SPMD Programming Model Amir Kamil Katherine Yelick

Source URL: titanium.cs.berkeley.edu

• Parallel computing
• Computing
• Computer programming
• Software engineering
• SPMD
• Thread
• Task parallelism
• Data parallelism
• Barrier
• Synchronization
• Thread block
• Message Passing Interface

Rapid High-Fidelity Reservoir Simulation with Fine-Grained Parallelism on Multiple GPUs John Shumway, Ken Esler, Karthik Mukundakrishnan, Vincent Natoli, and Yongpeng Zhang Stone Ridge Technology, Bel Air, Maryland, USA

Source URL: stoneridgetechnology.com

DYNAMIC PARALLELISM IN CUDA Dynamic Parallelism in CUDA is supported via an extension to the CUDA programming model that enables a CUDA kernel to create and synchronize new nested work. Basically, a child CUDA Kernel ca

Source URL: developer.download.nvidia.com

• Concurrent computing
• Parallel computing
• Computing
• Computer architecture
• GPGPU
• Graphics hardware
• Video cards
• CUDA
• Video game hardware
• Thread block
• Thread
• Graphics processing unit

Locality-Aware Task Management for Unstructured Parallelism: A Quantitative Limit Study Changkyu Kim† Christopher J. Hughes† christopher.j.hughes

Source URL: pcl.intel-research.net

The Inevitable Coincidence: A Basis for Concurrency and Distribution Philip Wadler University of Edinburgh Pervasive Parallelism, 2 June 2015

Source URL: pervasiveparallelism.inf.ed.ac.uk

Using Data Parallelism in Lisp for Implementing a Quantum Simulator Leonardo Uribe, Pascal Costanza, Charlotte Herzeel, Theo D’Hondt Programming Technology Lab Vrije Universiteit Brussel {leonardo.uribe|pascal.costanza

Source URL: www.european-lisp-workshop.org

Exploiting Task-Based Parallelism in Bayesian Uncertainty Quantification Panagiotis E. Hadjidoukas1(B) , Panagiotis Angelikopoulos1 , Lina Kulakova1 , Costas Papadimitriou2 , and Petros Koumoutsakos1 1

Source URL: www.cse-lab.ethz.ch

• Statistics
• Statistical theory
• Bayesian statistics
• Estimation theory
• Parallel computing
• Bayesian network
• Bayesian inference
• Loss function
• Likelihood function
• Uncertainty quantification
• Markov chain Monte Carlo
• Marginal likelihood

Uniqueness and Reference Immutability for Safe Parallelism Colin S. Gordon† , Matthew J. Parkinson‡ , Jared Parsons , Aleks Bromfield , Joe Duffy † University of Washington, ‡ Microsoft Research Cambridge,  M

Source URL: www.cs.drexel.edu

Fast Databases with Fast Durability and Recovery Through Multicore Parallelism Wenting Zheng, MIT* Stephen Tu, MIT* Eddie Kohler, Harvard University Barbara Liskov, MIT

Source URL: read.seas.harvard.edu

Extracting parallelism in OS kernels using type-safe languages Cody Cutler M. Frans Kaashoek Robert Morris

Source URL: css.csail.mit.edu