Transactional Memory (TM) simplifies parallel programming by supporting atomic and isolated execution of user-identified tasks. To date, TM programming has required the use of l...
Woongki Baek, Chi Cao Minh, Martin Trautmann, Chri...
Multi-core processors naturally exploit thread-level parallelism (TLP). However, extracting instruction-level parallelism (ILP) from individual applications or threads is still a ...
With the advent of chip-multiprocessors, we are faced with the challenge of parallelizing performance-critical software. Transactional memory (TM) has emerged as a promising progr...
Marek Olszewski, Jeremy Cutler, J. Gregory Steffan
In recent years, microprocessor manufacturers have shifted their focus from single-core to multi-core processors. To avoid burdening programmers with the responsibility of paralle...
Neil Vachharajani, Ram Rangan, Easwaran Raman, Mat...
Effective use of communication networks is critical to the performance and scalability of parallel applications. Partitioned Global Address Space languages like UPC bring the pro...