Concave 发表于 2025-3-21 18:12:51
书目名称Vector and Parallel Processing - VECPAR‘96影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0980854<br><br> <br><br>书目名称Vector and Parallel Processing - VECPAR‘96影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0980854<br><br> <br><br>书目名称Vector and Parallel Processing - VECPAR‘96网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0980854<br><br> <br><br>书目名称Vector and Parallel Processing - VECPAR‘96网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0980854<br><br> <br><br>书目名称Vector and Parallel Processing - VECPAR‘96被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0980854<br><br> <br><br>书目名称Vector and Parallel Processing - VECPAR‘96被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0980854<br><br> <br><br>书目名称Vector and Parallel Processing - VECPAR‘96年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0980854<br><br> <br><br>书目名称Vector and Parallel Processing - VECPAR‘96年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0980854<br><br> <br><br>书目名称Vector and Parallel Processing - VECPAR‘96读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0980854<br><br> <br><br>书目名称Vector and Parallel Processing - VECPAR‘96读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0980854<br><br> <br><br>Mawkish 发表于 2025-3-21 23:53:15
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Irregular data-parallel objects in C++,s. The implementation of irregular algorithms requires a programming effort to project the irregular data structures onto regular structures. We first propose in this paper a classification of existing data-parallel languages. We briefly describe their irregular and dynamic aspects, and derive diffeGEON 发表于 2025-3-22 15:58:23
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,ProHos-1 — A vector processor for the efficient estimation of higher-order moments,on of higher-order moments of sampled data taken from real systems. For applications that require real-time processing, the performance achieved by common microprocessors or digital signal processors is not good enough to carry out the large number of calculations needed for their estimation. This p黄瓜 发表于 2025-3-22 23:03:04
The use of computational kernels in full and sparse linear solvers, efficient code design on high-pportant for both simplifying application software development and improving reliability..This is illustrated by considering the solution of full and sparse linear systems. We describe successive layers of computational kernels such as the BLAS, the sparse BLAS, blocked algorithms for factorizing ful自作多情 发表于 2025-3-23 02:28:34
Parallel implementation of a symmetric eigensolver based on the Yau and Lu method,bspace decomposition method for dense symmetric matrices followed by numerical results and work in progress of a distributed-memory implementation. We expect that the algorithm‘s heavy reliance on matrix-matrix multiplication, coupled with FFT should yield a highly parallelizable algorithm. We presemotivate 发表于 2025-3-23 07:08:53
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