Author:
Saltz Joel,Chang Chialin,Edjlali Guy,Hwang Yuan-Shin,Moon Bongki,Ponnusamy Ravi,Sharma Shamik,Sussman Alan,Uysal Mustafa,Agrawal Gagan,Das Raja,Havlak Paul
Reference69 articles.
1. An integrated runtime and compile-time approach for parallelizing structured and block structured applications;Agrawal;IEEE Transactions on Parallel and Distributed Systems,1995
2. Agrawal, G. & Saltz, J. (1994). Interprocedural communication optimizations for distributed memory compilation. Proceedings of the 7th Workshop on Languages and Compilers for Parallel Computing, pp. 283–299, August. Also available as University of Maryland Technical Report CS-TR3264
3. Agrawal, G. & Saltz, J. (1995). Interprocedural compilation of irregular applications for distributed memory machines. Proceedings Supercomputing '95. IEEE Computer Society Press, December. Also available as University of Maryland Technical Report CSTR–3447
4. Interprocedural partial redundancy elimination and its application to distributed memory compilation;Agrawal,1995
5. Compiler and runtime support for structured and block structured applications;Agrawal,1993
Cited by
10 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Optimizing LOBPCG: Sparse Matrix Loop and Data Transformations in Action;Languages and Compilers for Parallel Computing;2017
2. Loop and data transformations for sparse matrix code;ACM SIGPLAN Notices;2015-08-07
3. Loop and data transformations for sparse matrix code;Proceedings of the 36th ACM SIGPLAN Conference on Programming Language Design and Implementation;2015-06-03
4. An Approach for Proving the Correctness of Inspector/Executor Transformations;Languages and Compilers for Parallel Computing;2015
5. Non-affine Extensions to Polyhedral Code Generation;Proceedings of Annual IEEE/ACM International Symposium on Code Generation and Optimization;2014-02-15