With the surge of big data applications and the worsening of the memory-wall problem, the
memory system, instead of the computing unit, becomes the commonly recognized major …

Encryption of streaming video is becoming critical to the success of commercial enterprise
and to consumers alike. To meet copyright and privacy requirements, encrypting video data …

Cache management is a critical aspect of computer architecture, encompassing techniques
such as cache replacement, bypassing, and prefetching. Existing research has often …

Improving cache performance is a lasting research topic. While utilizing data locality to
enhance cache performance becomes more and more difficult, data access concurrency …

The integrated architecture that features both in-memory logic and host processors, or so-
called “processing-in-memory”(PIM) architecture, is an emerging and promising solution to …

As we head toward a data-centric era, conventional computing systems become inadequate
to meet the evolving demands of the applications. As a result, the near-memory processing …

Sparse matrix-matrix multiplication (SpMM) is a critical computational kernel in numerous
scientific and machine learning applications. SpMM involves massive irregular memory …

Graph pattern matching (GPM), a critical algorithm for discovering specific patterns within
complex structures, is becoming increasingly important in the data-driven world. GPM …

Spark, a distributed computing platform, has rapidly developed in the field of big data. Its in-
memory computing feature reduces disk read overhead and shortens data processing time …

The data-intensive applications of today's big data era often produce a large memory
footprint. As a result, a significant volume of data needs to travel from memory to the CPU …