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- The Yield Forecasting Program of Nass
- Cooperative Concurrency for a Multicore World
- Dryadlinq for Scientific Analyses
- Modeling the Effect of Redundancy on Yield and Performance of VLSI Systems
- The Fork-Join Model and Its Implementation in Cilk
- Nectar: Automatic Management of Data and Computation in Datacenters
- 1 Vector Processing
- From CUDA to Opencl: Towards a Performance-Portable Solution for Multi-Platform GPU Programming
- Implementing Database Operations Using SIMD Instructions
- Introduction to High-Performance Computing in Chapel
- Concise Notes on Data Structures and Algorithms
- Chapter 8: Bags and Sets
- Scalability-Driven Approaches to Key Aspects of the Message Passing Interface for Next Generation Supercomputing
- The Opencl™ C 2.0 Specification
- NVIDIA CUDA Programming Guide
- 1 Gpus and SIMD [35 Points]
- The State of the Chapel Union
- NSA and the Supercomputer Industry
- C211 – Operating Systems Tutorial: Processes and Threads – Answers –
- SCOPE and REEF
- CS162 Operating Systems and Systems Programming Lecture 6 Concurrency (Continued), Thread and Processes
- Conceptual and Technical Challenges for High Performance Computing Claude Tadonki
- CUDA Binary Utilities
- Shared-Memory Parallel Programming with Cilk Plus
- Boost.SIMD: Generic Programming for Portable Simdization
- CU2CL: an Automated CUDA-To- Opencl Source-To-Source Translator
- Automatic Optimization of Parallel Dataflow Programs
- Introduction to Openmp
- Threads ICS332 — Operating Systems
- Ariadne: Architecture of a Portable Threads System Supporting Mobile Processes
- CUDA 8 OVERVIEW Milind Kukanur, June 2016 CUDA TOOLKIT 8 Everything You Need to Accelerate Applications
- Openmp Application Program Interface (Openmp API)
- Comparison of Three Popular Parallel Programming Models on the Intel Xeon Phi
- Opencl Based Digital Image Projection Acceleration
- Practical SIMD Programming
- Cilk: an Efficient Multithreaded Runtime System
- Large Scale Computing in Science and Engineering
- Robust SIMD: Dynamically Adapted SIMD Width and Multi-Threading Depth
- MPI: a Message-Passing Interface Standard
- The Impact of Taskyield on the Design of Tasks Communicating Through MPI
- Opencl Best Practices Guide
- Fine-Grain Task Aggregation and Coordination on Gpus
- AMD Opencl Optimization Guide
- Data Structures
- A Technique for Finding Optimal Program Launch Parameters Targeting Manycore Accelerators
- Building MPI for Multi-Programming Systems Using Implicit Information
- Openmp Application Programming Interface
- Intel® Cilk++ SDK Programmer's Guide
- Cloud Technologies for Bioinformatics Applications Jaliya Ekanayake, Thilina Gunarathne, Judy Qiu
- Spark: Cluster Computing with Working Sets
- View Language Specification [Pdf]
- Opencl Floating Point Software on Heterogeneous Architectures — Portable Or Not?
- Message-Passing Interface Basics
- Openmp Tasks
- 6 Chapel 6.1 a Brief History of Chapel
- Openmp Application Program Interface
- Rethinking SIMD Vectorization for In-Memory Databases
- Introduction To
- Threads, Concurrent Execution, Timesharing, Context Switch, Interrupts, Preemption
- NVIDIA CUDA Programming Guide
- Introduction to Intel Cilk
- NVIDIA PROFILING TOOLS Jeff Larkin, August 08, 2019; Some Slides Courtesy Tom Papatheodore (ORNL) NVIDIA PROFILING on SUMMIT
- Some Sample Programs Written in Dryadlinq
- Chapel: Productive, Multiresolution Parallel Programming
- New Ideas Track: Testing Mapreduce-Style Programs
- Thread Implementation
- Thread Reinforcer: Dynamically Determining Number of Threads Via OS Level Monitoring
- Advanced Openmp Features
- Chapel Aggregation Library (CAL)