Irregular applications, such as graph analytics and sparse linear algebra, exhibit frequent
indirect, data-dependent accesses to single or short sequences of elements that cause high …

Memory systems are becoming bandwidth constrained and data compression is seen as a
simple technique to increase their effective bandwidth. However, data compressionrequires …

Transparent Memory-Compression (TMC) allows the system to obtain the bandwidth
benefits of memory compression in an OS-transparent manner. Unfortunately, prior designs …

This paper investigates compression for DRAM caches. As the capacity of DRAM cache is
typically large, prior techniques on cache compression, which solely focus on improving …

The hardware security crisis brought on by recent speculative execution attacks has shown
that it is crucial to adopt a security-conscious approach to architecture research, analyzing …

Existing cache and main memory compression techniques compress data in small fixed-size
blocks, typically cache lines. Moreover, they use simple compression algorithms that focus …

Hybrid memory systems are able to achieve both high performance and large capacity when
combining fast commodity DDR memories with larger but slower non-volatile memories in a …

Approximate Bayesian Computation (ABC) enables statistical inference in simulatorbased
models whose likelihoods are difficult to calculate but easy to simulate from. ABC constructs …

In this paper, we identify a previously untapped source of compressibility in cache working
sets: clusters of cachelines that are similar, but not identical, to one another. To compress …

As higher memory bandwidth is required for data-intensive environments, memory
compression can be a simple but effective solution to increase memory bandwidth …