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Although numerous loop optimization techniques have been designed and deployed in commercial compilers in the past, virtually no common experimental infrastructure nor repository exists to help the compiler community evaluate the effectiveness of these techniques. This paper describes a repository, LORE, that maintains a large number of C language for loop nests extracted from popular benchmarks,...
The performance-intensive part of a large-vocabulary continuous speech-recognition system is the Viterbi computation that determines the sequence of words that are most likely to generate the acoustic-state scores extracted from an input utterance. This paper presents an efficient parallel algorithm for Viterbi. The key idea is to partition the per-frame computation among threads to minimize inter-thread...
It has been widely shown that high-throughput computing architectures such as GPUs offer large performance gains compared with their traditional low-latency counterparts for many applications. The downside to these architectures is that the current programming models present numerous challenges to the programmer: lower-level languages, loss of portability across different architectures, explicit data...
Most of today's processors include vector units that have been designed to speedup single threaded programs. Although vector instructions can deliver high performance, writing vector code in assembly language or using intrinsics in high level languages is a time consuming and error-prone task. The alternative is to automate the process of vectorization by using vectorizing compilers. This paper evaluates...
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