Thread-Level Speculation (TLS) is a promising technique that allows the parallel execution
of sequential code without relying on a prior, compile-time-dependence analysis. In this …

We present new techniques for compilation of arbitrarily nested loops with affine
dependences for distributed-memory parallel architectures. Our framework is implemented …

We describe and evaluate HELIX, a new technique for automatic loop parallelization that
assigns successive iterations of a loop to separate threads. We show that the inter-thread …

Big Data is the new experience curve in the new economy driven by data with high volume,
velocity, variety, and veracity. They come from various sources that include the Internet …

Software engineers now face the difficult task of refactoring serial programs for parallel
execution on multicore processors. Currently, they are offered little guidance as to how much …

Automatic parallelization for clusters is a promising alternative to time-consuming, error-
prone manual parallelization. However, automatic parallelization is frequently limited by the …

The motivation of this work is to ask whether Transactional Memory (TM) and Thread-Level
Speculation (TLS), two prominent concurrency paradigms usually considered separately …

Thread-Level Speculation (TLS) overcomes limitations intrinsic with conservative compile-
time auto-parallelizing tools by extracting parallel threads optimistically and only ensuring …

Program analysis determines the potential dataflow and control flow relationships among
instructions so that compiler optimizations can respect these relationships to transform code …

Compiling for distributed-memory parallel architectures is considered very challenging. In
spite of the large amount of work done to address this problem, no practical and efficient …