Applications extensively use data objects with a regular and fixed layout, which leads to the
recurrence of access patterns over memory regions. Spatial data prefetching techniques …

Data prefetching, ie, the act of predicting an application's future memory accesses and
fetching those that are not in the on-chip caches, is a well-known and widely used approach …

Graph analytics power a range of applications in areas as diverse as finance, networking
and business logistics. A common property of graphs used in the domain of graph analytics …

Server workloads operate on large volumes of data. As a result, processors executing these
workloads encounter frequent L1-D misses. In a many-core processor, an L1-D miss causes …

Non-Volatile Memory (NVM) technology is a promising solution to fulfill the ever-growing
need for higher capacity in the main memory of modern systems. Despite having many great …

With the development of Internet of Things (IoT), massive amounts of data will be brought. By
offloading caching from the cloud to the edge, edge caching technology represents a …

Although multi-core processors enhance the performance yet the challenge of estimating
Worst-Case Execution Time (WCET) of a task remains in such systems due to interference in …

Traditional caching is transparent to software but cannot utilize program information directly.
With Moore's Law ending and general-purpose processor speed plateauing, there is …

Data prefetching, ie, the act of predicting application's future memory accesses and fetching
those that are not in the on-chip caches, is a well-known and widely-used approach to hide …

Nowadays, as the memory capacity of servers become larger and larger, distributed in-
memory file systems, which enable applications to interact with data at fast speed, have …