From Physics Model to Results: An Optimizing Framework for Cross-Architecture Code Generation [PDF]
, 2013 Starting from a high-level problem description in terms of partial differential equations using abstract tensor notation, the Chemora framework discretizes, optimizes, and generates complete high performance codes for a wide range of compute ...
Blazewicz, Marek +8 more
core +4 more sources
Accelerating Nested Conditionals on CGRA With Tag-Based Full Predication Method
IEEE Access, 2020 CGRA (Coarse-grained Reconfigurable Architecture) has been widely considered as one of the most promising computing architectures to exploit spatial parallelism.
Jiang Sha +3 more
doaj +1 more source
Thread partitioning and value prediction for exploiting speculative thread-level parallelism [PDF]
, 2004 Speculative thread-level parallelism has been recently proposed as a source of parallelism to improve the performance in applications where parallel threads are hard to find.
González Colás, Antonio María +2 more
core +2 more sources
A Pipeline-Based ODE Solving Framework
IEEE AccessThe traditional parallel solving methods of ordinary differential equations (ODE) are mainly classified into task-parallelism, data-parallelism, and instruction-level parallelism.
Ruixia Cao, Shangjun Hou, Lin Ma
doaj +1 more source
goSLP: Globally Optimized Superword Level Parallelism Framework
, 2018 Modern microprocessors are equipped with single instruction multiple data (SIMD) or vector instruction sets which allow compilers to exploit superword level parallelism (SLP), a type of fine-grained parallelism.
Amarasinghe, Saman, Mendis, Charith
core +1 more source
RPPM : Rapid Performance Prediction of Multithreaded workloads on multicore processors [PDF]
, 2019 Analytical performance modeling is a useful complement to detailed cycle-level simulation to quickly explore the design space in an early design stage. Mechanistic analytical modeling is particularly interesting as it provides deep insight and does not ...
Akram, Shoaib +3 more
core +2 more sources
Vectorization of Program Code Containing Low Probability Regions in Computational Geometry Problems
Современные информационные технологии и IT-образование, 2022 Improving application performance is an important practical task for supercomputer calculations. Along with parallelization of calculations between cluster nodes (for example, using MPI tools), as well as multithreaded programming (for example, using ...
Alexey Rybakov
doaj +1 more source
Exploiting instruction-level parallelism : a constructive approach
, 1998 Luiz C. V. dos Santos
openalex +3 more sources
Design Principles for Sparse Matrix Multiplication on the GPU
, 2018 We implement two novel algorithms for sparse-matrix dense-matrix multiplication (SpMM) on the GPU. Our algorithms expect the sparse input in the popular compressed-sparse-row (CSR) format and thus do not require expensive format conversion.
A Tiskin +11 more
core +1 more source
Quantifying the benefits of SPECint distant parallelism in simultaneous multithreading architectures [PDF]
, 1999 We exploit the existence of distant parallelism that future compilers could detect and characterise its performance under simultaneous multithreading architectures.
Ayguadé Parra, Eduard +4 more
core +1 more source