This paper introduces a new resource virtualization framework, Zorua, that decouples the
programmer-specified resource usage of a GPU application from the actual allocation in the …

Current generation GPUs can accelerate high-performance, compute-intensive applications
by exploiting massive thread-level parallelism. The high performance, however, comes at …

Modern GPUs require tens of thousands of concurrent threads to fully utilize the massive
amount of processing resources. However, thread concurrency in GPUs can be diminished …

This paper presents a pre-execution approach for improving GPU performance, called P-
mode (pre-execution mode). GPUs utilize a number of concurrent threads for hiding …

The register file is one of the largest and most power-hungry structures in a Graphics
Processing Unit (GPU), because massive multithreading requires all the register state for …

The popularity of general purpose Graphic Processing Unit (GPU) is largely attributed to the
tremendous concurrency enabled by its underlying architecture--single instruction multiple …

General-Purpose Graphic Processing Units (GPGPU) have been widely used in high
performance computing as application accelerators due to their massive parallelism and …

Graphics Processing Units (GPUs) have been widely adopted as accelerators for high
performance computing due to the immense amount of computational throughput they offer …

As we approach the end of conventional technology scaling, computer architects are forced
to incorporate specialized and heterogeneous accelerators into general-purpose processors …

Near-threshold computing (NTC) has the potential to significantly improve efficiency in high
throughput architectures, such as general-purpose computing on graphic processing unit …