Increasing scale and the need for rapid response to changing requirements are hard to meet
with current monolithic cluster scheduler architectures. This restricts the rate at which new …

In this paper we consider productivity challenges for parallel programmers and explore ways
that parallel language design might help improve end-user productivity. We offer a …

Transactional Memory (TM) is emerging as a promising technology to simplify parallel
programming. While several TM systems have been proposed in the research literature, we …

Many of the challenges in building shared-memory data structures stem from needing to
update several memory locations at once—eg, updating four pointers to insert an item into a …

Writing applications that benefit from the massive computational power of future multicore
chip multiprocessors will not be an easy task for mainstream programmers accustomed to …

Transactional memory (TM) promises to substantially reduce the difficulty of writing correct,
efficient, and scalable concurrent programs. But" bounded" and" best-effort" hardware TM …

The behavior of a multithreaded program does not depend only on its inputs. Scheduling,
memory reordering, timing, and low-level hardware effects all introduce nondeterminism in …

The advent of multicore processors has renewed interest in the idea of incorporating
transactions into the programming model used to write parallel programs. This approach …

We propose signature-accelerated transactional memory (SigTM), ahybrid TM system that
reduces the overhead of software transactions. SigTM uses hardware signatures to track the …

Transactional memory (TM) is an appealing abstraction for programming multi-core systems.
Potential target applications for TM, such as business software and video games, are likely …