Recent years have witnessed phenomenal growth in the computational capabilities and
applications of GPUs. However, this trend has also led to a dramatic increase in their power …

Cloud Computing is an emerging computing paradigm. It shares massively scalable, elastic
resources (eg, data, calculations, and services) transparently among the users over a …

Neural personalized recommendation is the cornerstone of a wide collection of cloud
services and products, constituting significant compute demand of cloud infrastructure. Thus …

Processing data in or near memory (PIM), as opposed to in conventional computational units
in a processor, can greatly alleviate the performance and energy penalties of data transfers …

Guaranteeing Quality-of-Service (QoS) of latency-sensitive applications while improving
server utilization through application co-location is important yet challenging in modern …

With the SIMT execution model, GPUs can hide memory latency through massive
multithreading for many applications that have regular memory access patterns. To support …

The massive parallel architecture enables graphics processing units (GPUs) to boost
performance for a wide range of applications. Initially, GPUs only employ scratchpad …

To aid application characterization and architecture design space exploration, researchers
and engineers have developed a wide range of tools for CPUs, including simulators …

As GPUs make headway in the computing landscape spanning mobile platforms,
supercomputers, cloud and virtual desktop platforms, supporting concurrent execution of …

GPUs employ massive multithreading and fast context switching to provide high throughput
and hide memory latency. Multithreading can Increase contention for various system …