Titlebook: Languages and Compilers for Parallel Computing; 9th International Wo David Sehr,Utpal Banerjee,David Padua Conference proceedings 1997 Spri

idiopathic

混雜人

Resource-, Loop Pipelining,ization process. One of the key features of RDLP is the separation of control heuristics from transformations that allows the loop pipelining to be as general as the underlying system of code motion transformations. This paper presents results that show that RDLP is capable of “adapting” to target r

偽造者

vibrant

Bidirectional scheduling: A new global code scheduling approach,tructions need to be enforced. In this paper, we describe a global code scheduling algorithm that moves instructions upward and downward in the control flow graph. Downward code motion is first applied. The purpose of downward code motion is to move store instructions and other instructions on the t

拱墻

Parametric computation of margins and of minimum cumulative register lifetime dates,tion interval which satisfies the recurrence constraints, and exposing the most constraining recurrence cycle; b) computing and maintaining, as scheduling proceeds, the earliest and latest possible schedule dates (the margins) of the not yet scheduled instructions; c) computing and maintaining the t

wreathe

Global register allocation based on graph fusion,a new coloring-based global register allocation algorithm that addresses all three issues in an integrated way: the algorithm starts with an interference graph for each region of the program, where a region can be a basic block, a loop nest, a superblock, a trace, or another combination of basic blo

COMMA

Isolate

Lock coarsening: Eliminating lock overhead in automatically parallelized object-based programs, locks. In an object-based programming system the natural granularity is to give each object its own lock. Each operation can then make its execution atomic by acquiring and releasing the lock for the object that it accesses. But this fine lock granularity may have high synchronization overhead. To

maintenance

Foment

Exploiting monotone convergence functions in parallel programs,ire a global reduction and an associated barrier. We present a method which allows us avoid performing global barriers and exploit pipelined parallelism when processors can detect nonconvergence from local information.