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 …

Big-data server applications frequently encounter data misses, and hence, lose significant
performance potential. One way to reduce the number of data misses or their effect is data …

Unlimited vector extension (UVE) is a novel instruction set architecture extension that takes
streaming and SIMD processing together into the modern computing scenario. It aims to …

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 …

In this paper, we reveal the existence of a new class of prefetcher, the XPT prefetcher, in
modern Intel processors which has never been officially detailed. It speculatively issues a …

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 …

In this paper, we reveal the existence of a new class of prefetcher, the XPT prefetcher, in the
modern Intel processors which has never been officially documented. It speculatively issues …

The performance of modern processors is often limited by execution stalls resulting from
long memory access latencies. Compile-time optimizations, deep cache hierarchies and …

Prefetching proactively resources at datanodes within distribution networks plays a key role
in improving the efficiency of data access for e-learning, which requires assistance from …