By Pedro V. Artigas, Manish Gupta, Samuel P. Midkiff, José E. Moreira (auth.), Larry Carter, Jeanne Ferrante (eds.)
In August 1999, the 12th Workshop on Languages and Compilers for P- allel Computing (LCPC) was once hosted via the Hierarchical Tiling examine crew from the pc technology and Engineering division on the collage of California San Diego (UCSD). The workshop is an annual foreign discussion board for top learn teams to offer their present examine actions and the most recent effects. It has additionally been a spot for researchers and practitioners to - teract heavily and trade principles approximately destiny instructions. one of the subject matters of curiosity to the workshop are language gains, code iteration, debugging, - timization, communique and dispensed shared reminiscence libraries, dispensed item structures, source administration platforms, integration of compiler and r- time platforms, abnormal and dynamic purposes, and function overview. In 1999, the workshop used to be held on the foreign Relations/Paci c experiences Auditorium and the San Diego Supercomputer heart at UCSD. Seventy-seven researchers from Australia, England, France, Germany, Korea, Spain, and the USA attended the workshop, a rise of over 50% from 1998.
Read or Download Languages and Compilers for Parallel Computing: 12th International Workshop, LCPC’99 La Jolla, CA, USA, August 4–6, 1999 Proceedings PDF
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Additional info for Languages and Compilers for Parallel Computing: 12th International Workshop, LCPC’99 La Jolla, CA, USA, August 4–6, 1999 Proceedings
In addition to pointer-induced aliases, certain reads and writes of locations must be ordered so as to obey the semantics of exceptions, synchronization, and the memory model in Java. Finally, exceptions themselves must be properly ordered in order to ensure that the view of program state as needed by the corresponding exception handlers is preserved. Our approach integrates all these new kinds of dependence constraints into a single framework, based on true, anti, and output dependences. We model registers, memory locations, and even exception and synchronization states as abstract locations.
The most obvious solution to maintain exception order is to add the explicit exception checks before any optimizations take place. As long as the compiler does not re-order the checks themselves, the exceptions will occur in the original order. The compiler must then speculate code in such a way that state is guaranteed to be correct if an exception occurs. The addition of runtime checks increases the number of jumps and reduces the size of the basic blocks, greatly hindering traditional instruction schedulers.
Chambers, I. Pechtchanski, V. Sarkar, M. J. Serrano, and H. Srinivasan. Dependence analysis for Java. In Proceedings of the 12th International Workshop on Languages and Compilers for Parallel Computing, LCPC’99, August 1999. 6. K. Ebcioglu and E. R. Altman. DAISY: Dynamic compilation for 100In Proceedings of the 24th Annual International Symposium on Computer Architecture (ISCA-97), volume 25,2 of Computer Architecture News, pages 26–37, New YOrk, June 2–4 1997. ACM Press. 7. J. A. Fisher. Trace scheduling : A technique for global microcode compaction.
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