In recent years, the limits of the multicore approach emerged in the so-called “dark silicon”
issue and diminishing returns of an ever-increasing core count. Hardware manufacturers …

DNN accelerators are often developed and evaluated in isolation without considering the
cross-stack, system-level effects in real-world environments. This makes it difficult to …

2017-08-09 Assigned to INTEL CORPORATION reassignment INTEL CORPORATION
ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors …

Contemporary discrete GPUs support rich memory management features such as virtual
memory and demand paging. These features simplify GPU programming by providing a …

GPUs have become ubiquitous in the cloud due to the dramatic performance gains they
enable in domains such as machine learning and computer vision. However, offloading …

Thunderclap: Exploring Vulnerabilities in Operating System IOMMU Protection via DMA
from Untrustworthy Peripherals Page 1 Thunderclap: Exploring Vulnerabilities in Operating …

While unified virtual memory and demand paging in modern GPUs provide convenient
abstractions to programmers for working with large-scale applications, they come at a …

Modern discrete GPUs support unified memory and demand paging. Automatic
management of data movement between CPU memory and GPU memory dramatically …

Graphics Processing Units (GPUs) exploit large amounts of threadlevel parallelism to
provide high instruction throughput and to efficiently hide long-latency stalls. The resulting …

To break the GPU memory wall for scaling deep learning workloads, a variety of architecture
and system techniques have been proposed recently. Their typical approaches include …