Parallelism is often required for performance. In these situations an excess of non-
determinism is harmful as it means the program can have several different behaviours or …

While unified virtual memory and demand paging in modern GPUs provide convenient
abstractions to programmers for working with large-scale applications, they come at a …

Block-STM is a parallel execution engine for smart contracts, built around the principles of
Software Transactional Memory. Transactions are grouped in blocks, and every execution of …

Single instruction multiple data (SIMD) extensions are one of the most significant capabilities
of recent General Purpose Processors (GPPs) which improves the performance of …

Multicores are now ubiquitous, but programmers still write sequential code. Speculative
parallelization is an enticing approach to parallelize code while retaining the ease of …

Community detection is a demanded technique in analyzing complex and massive graph-
based networks. The quality of the detected communities in an acceptable time is an …

As parallelism on different levels becomes ubiquitous in today's computers, it seems
worthwhile to provide a review of the wealth of every aspect of parallel computing that has …

Multicore systems should support both speculative and non-speculative parallelism.
Speculative parallelism is easy to use and is crucial to scale many challenging applications …

Parallelization is needed everywhere, from laptops and mobile phones to supercomputers.
Among parallel programming models, task-based programming has demonstrated a …

This work studies the interplay between multithreaded cores and speculative parallelism
(eg, transactional memory or thread-level speculation). These techniques are often used …