DISTRIBUTED PHYSICAL PROCESSING OF MATRIX SUM OPERATION
作者： Schatz Martin , Firoozshahian Amin
DOI:
关键词: Matrix (mathematics) 、 Computational science 、 Type (model theory) 、 Computer science
摘要: A specification of an operation to perform one or more element-wise sums specified portions a matrix is received. The the analyzed select type processing load partitioning be applied. Based on selected applied, required partitioned across plurality physical elements in parallel. distributed hardware parallel matrix.
lens.org 参考文章(10)
David Sitsky, Eddie Sheehy, Systems and methods for load-balancing by secondary processors in parallelized indexing ,(2013)
William S. Song, Processor for large graph algorithm computations and matrix operations ,(2011)
Stephen Toub, Michael Liddell, Igor Ostrovsky, Dynamic partitioning of data for data-parallel applications ,(2010)
Réjean Fontaine, Jean-Daniel Leroux, Roger Lecomte, Marc Dumoulin, Image reconstruction based on accelerated method using polar symmetries ,(2011)
Tetsuzou Usui, Parallel operation method and information processing apparatus ,(2014)
Knox Kent F, Liu Jian, Scriptable Dynamic Load Balancing in Computer Systems ,(2016)
Werner Tony L, Yang Andrew, Kloss Carey K, Lau Horace, MATRIX STORAGE USING DATA SHIFTING MEMORY ,(2018)
Mills Christopher L, Norden Erik K, Park Sung Hee, PERFORMING MULTIPLY AND ACCUMULATE OPERATIONS IN NEURAL NETWORK PROCESSOR ,(2019)
Sikka Aman, Kheterpal Veerbhan, Firu Robert Daniel, Drego Nigel, Ravichandran Mrinalini, Systems and methods for virtually partitioning a machine perception and dense algorithm integrated circuit ,(2020)
Moloney David, Geraghty Dermot, Data processing system and method ,(2009)