Titlebook: Compiler Construction; 20th International C Jens Knoop Conference proceedings 2011 The Editor(s) (if applicable) and The Author(s), under e

BOLUS

細頸瓶

Using Disjoint Reachability for Parallelizationde is annotated with a set of reachability states that abstract the reachability of objects represented by the node. The analysis also includes a global pruning step which analyzes a reachability graph to prune imprecise reachability states that cannot be removed with local reasoning alone. We have

trigger

Data Layout Transformation for Stencil Computations on Short-Vector SIMD Architecturesl equation solvers used in a variety of scientific and engineering applications. Short-vector SIMD instruction sets such as SSE and VMX provide a promising and widely available avenue for enhancing performance on modern processors. However a fundamental memory stream alignment issue limits achieved

Apraxia

貨物

coagulate

A Static Task Partitioning Approach for Heterogeneous Systems Using OpenCLce, however, can only be achieved if tasks are accurately mapped to the right processors. OpenCL programs can be partitioned to take advantage of all the available processors in a system. However, finding the best partitioning for any heterogeneous system is difficult and depends on the hardware and

Palpate

SSA-Based Register Allocation with PBQP recoloring approach, this reduces the relative number of swap and copy instructions for the SPEC CINT2000 benchmark to 99.6% and 95.2%, respectively, while taking 19% less time for assignment and coalescing.

小樣他閑聊

FIG

Using Disjoint Reachability for Parallelizationimplemented the analysis and used it to parallelize 8 benchmarks. Our evaluation shows the analysis results are sufficiently precise to parallelize our benchmarks and achieve an average speedup of 16.9× .

防銹

0302-9743 reviewed and selected from 52 submissions. The papers are organized in topical sections on JIT compilation and code generation, program analysis, reversible computing and interpreters, parallelism and high-performance computing, and task and data distribution.978-3-642-19860-1978-3-642-19861-8Series ISSN 0302-9743 Series E-ISSN 1611-3349