We design and develop ObliVM, a programming framework for secure computation. ObliVM
offers a domain specific language designed for compilation of programs into efficient …

Heterogeneous computing with accelerators is growing in importance in high performance
computing (HPC). Recently, application datasets have expanded beyond the memory …

As communication energy exceeds computation energy in future technologies, traditional on-
chip electrical interconnects face fundamental challenges in the many-core era. Photonic …

We propose overcoming the memory capacity limitation of GPUs with high-capacity Storage-
Class Memory (SCM) and DRAM cache. By significantly increasing the memory capacity …

With the skyrocketing advances of process technology, the increased need to process huge
amount of data, and the pivotal need for power efficiency, the usage of Graphics Processing …

In this article, we describe how to ease memory management between a Central Processing
Unit (CPU) and one or multiple discrete Graphic Processing Units (GPUs) by architecting a …

Software inspection has been shown to be an effective defect removal practice, leading to
higher quality software with lower field failures. Automated software inspection tools are …

GPU-accelerated in-memory database systems have gained a lot of popularity over the last
several years. However, GPUs have limited memory capacity, and the data to process might …

General-purpose computing on GPUs has become more accessible due to features such as
shared virtual memory and demand paging. Unfortunately it comes at a price, and that is …

Execution of GPGPU workloads consists of different stages including data I/O on the CPU,
memory copy between the CPU and GPU, and kernel execution. While GPU can remain idle …