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 …

Many sequential applications are difficult to parallelize because of unpredictable control
flow, indirect data access, and input-dependent parallelism. These difficulties led us to build …

Fast track is a software speculation system that enables unsafe optimization of sequential
code. It speculatively runs optimized code to improve performance and then checks the …

We investigate the differences of the influences between robot and virtual learning
companions on students' engagement. From the analysis of our experimental result and …

OpenMP directives are the de-facto standard for shared-memory parallel programming.
However, OpenMP does not guarantee the correctness of the parallel execution of a given …

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

The widespread availability of multicore systems has led to an increased interest in
speculative parallelization of sequential programs using software-based thread level …

Many performance-critical applications traverse bitstreams with bitwise computations for
better performance or higher space efficiency, such as multimedia processing and bitmap …

Computational scientists are typically not expert programmers, and thus work in easy to use
dynamic languages. However, they have very high performance requirements, due to their …

Current parallelizing compilers can tackle applications exercising regular access patterns on
arrays or affine indices, where data dependencies can be expressed in a linear form …