Phase Change Memory (PCM) is an emerging memory technology that has the capability to
address the growing demand for memory capacity and bridge the gap between the main …

The memory system is a major performance determinant for server processors. Ever-
growing core counts and datasets demand higher bandwidth and capacity as well as lower …

The last few years have seen a rapid adoption of cloud computing for data-intensive tasks. In
the cloud environment, it is common for applications to run under virtualization and to share …

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 …

Many emerging non-volatile memories are compatible with CMOS logic, potentially enabling
their integration into a CPU's die. This article investigates such monolithically integrated …

We present a vision for the Erudite architecture that redefines the compute and memory
abstractions such that memory bandwidth and capacity become first-class citizens along …

Modern datacenters host datasets in DRAM to offer large-scale online services with tight tail-
latency requirements. Unfortunately, as DRAM is expensive and increasingly difficult to …

Search is one of the most popular and important web services. The inverted index is the
standard data structure adopted by most full-text search engines. Recently, custom …

We propose to overcome the memory capacity limitation of GPUs with a Heterogeneous
Memory Stack (HMS) that integrates Storage Class Memory (SCM) and DRAM in a 3D …

Sparse Matrix Multiplication (SpMM) is a crucial algorithm in modern platforms such as
Artificial Intelligence (AI), Graph Neural Network (GNN), Graph Convolutional Network …