As the trends of process scaling make memory systems an even more crucial bottleneck, the
importance of latency hiding techniques such as prefetching grows further. However, naively …

As the number of cores on a chip increases and key applications become even more data-
intensive, memory systems in modern processors have to deal with increasingly large …

Microprocessor designers have been torn between tight constraints on the amount of on-
chip cache memory and the high latency of off-chip memory, such as dynamic random …

Low utilization of on-chip cache capacity limits performance and wastes energy because of
the long latency, limited bandwidth, and energy consumption associated with off-chip …

Modern Graphics Processing Units (GPUs) are well provisioned to support the concurrent
execution of thousands of threads. Unfortunately, different bottlenecks during execution and …

Hardware prefetching and last-level cache (LLC) management are two independent
mechanisms to mitigate the growing latency to memory. However, the interaction between …

Resource disaggregation offers a cost effective solution to resource scaling, utilization, and
failure-handling in data centers by physically separating hardware devices in a server …

Over the past two decades, the storage capacity and access bandwidth of main memory
have improved tremendously, by 128x and 20x, respectively. These improvements are …

Approximate computing has gained research attention recently as a way to increase energy
efficiency and/or performance by exploiting some applications' intrinsic error resiliency …

Data compression can be an effective method to achieve higher system performance and
energy efficiency in modern data-intensive applications by exploiting redundancy and data …