Modern Graphics Processing Units (GPUs) are well provisioned to support the concurrent
execution of thousands of threads. Unfortunately, different bottlenecks during execution and …

Multicore processors have become ubiquitous in today's systems, but exploiting the
parallelism they offer remains difficult, especially for legacy application and applications with …

Graphics Processing Units (GPUs) are widely-used accelerators for data-parallel
applications. In many GPU applications, GPU memory bandwidth bottlenecks performance …

The end of Dennard scaling is expected to shrink the range of DVFS in future nodes, limiting
the energy savings of this technique. This paper evaluates how much we can increase the …

Graphics Processing Units (GPUs) employ large register files to accommodate all active
threads and accelerate context switching. Unfortunately, register files are a scalability …

In the current telecommunication environment, network operators are trying to cope with a
significant increase in data traffic by adopting different solutions to expand their network …

Chip multiprocessors (CMPs) provide a scalable means of exploiting thread-level
parallelism for multitasking or multithreaded applications. However, single-threaded …

In the ongoing quest for greater computational power, efficiently exploiting parallelism is of
paramount importance. Architectural trends have shifted from improving single-threaded …

This paper describes future execution (FE), a simple hardware-only technique to accelerate
individual program threads running on multicore microprocessors. Our approach uses …

Branch prediction is believed by many to be a solved problem, with state-of-the-art
predictors achieving near-perfect prediction for many programs. In this article, we conduct a …