Titlebook: Languages, Compilers, and Run-Time Systems for Scalable Computers; 4th International Wo David R. O’Hallaron Conference proceedings 1998 Spr

賭博

Memory System Support for Irregular Applications,memory controller will enable significant performance improvements for irregular applications, because it can be configured to optimize memory accesses on an application-by-application basis. In this paper we describe the optimizations that the Impulse controller supports for sparse matrix-vector pr

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Menhir: An Environment for High Performance Matlab,of using M. as a specification language. One of the major features of M. is its retargetability that allows generating parallel and sequential C or Fortran code. We present the compilation process and the target system description for M.. Preliminary performances are given and compared with MCC, the

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On the Automatic Parallelization of Sparse and Irregular Fortran Programs,/regular counterparts. However, not much is really known because there have been few research reports on this topic. In this work, we have studied the possibility of using an automatic parallelizing compiler to detect the parallelism in sparse/irregular programs. The study with a collection of spars

GUILE

Loop Transformations for Hierarchical Parallelism and Locality,is paper, we address the problem of selecting and implementing iteration-reordering loop transformations for hierarchical parallelism and locality. We present a two-pass algorithm for selecting sequences of Block, Unimodular, Parallel, and Coalesce transformations for optimizing locality and paralle

Flounder

Data Flow Analysis Driven Dynamic Data Partitioning,Finding a partitioning of program code and data that supports sufficient parallelism without incurring prohibitive communication costs is a challenging and critical step in the development of programs for distributed memory systems. Automatic data distribution techniques have the goal of placing the

miracle

A Case for Combining Compile-Time and Run-Time Parallelization,1) they must combine high-quality compile-time analysis with low-cost run-time testing; and, (2) they must take control flow into account during analysis. We support this claim with the results of an experiment that measures the safety of parallelization at run time for loops left unparallelized by

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古文字學(xué)

Efficient Interprocedural Data Placement Optimisation in a Parallel Library,ayed-evaluation, self-optimising (DESO) numerical library for a distributed-memory multicomputer. Delayed evaluation allows us to capture the control-flow of a user program from within the library at runtime, and to construct an optimised execution plan by propagating data placement constraints back

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Stress