@inproceedings{fc2581ef1908454896e2a400796c45f7,
title = "Compiling for speculative architectures",
abstract = "The traditional target machine of a parallelizing compiler can execute code sections either serially or in parallel. In contrast, tar- geting the generated code to a speculative parallel processor allows the compiler to recognize parallelism to the best of its abilities and leave other optimization decisions up to the processor's runtime detection me- chanisms. In this paper we show that simple improvements of the com- piler's speculative task selection method can already lead to signi_cant (up to 55%) improvement in speedup over that of a simple code genera- tor for a Multiscalar architecture. For an even more improved software/hardware cooperation we propose an interface that allows the compiler to inform the processor about fully parallel, serial, and speculative code sections as well as attributes of program variables. We have evaluated the degrees of parallelism that such a co-design can realistically exploit.",
author = "Kim, {Seon Wook} and Rudolf Eigenmann",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2000.; 12th International Workshop on Languages and Compilers for Parallel Computing, LCPC 1999 ; Conference date: 04-08-1999 Through 06-08-1999",
year = "2000",
doi = "10.1007/3-540-44905-1_32",
language = "English",
isbn = "9783540678588",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "464--467",
editor = "Larry Carter and Jeanne Ferrante",
booktitle = "Languages and Compilers for Parallel Computing - 12th International Workshop, LCPC 1999, Proceedings",
}