Modern computing systems are overwhelmingly designed to move data to computation. This
design choice goes directly against at least three key trends in computing that cause …

Commodity DRAM-based processing-using-memory (PuM) techniques that are supported
by off-the-shelf DRAM chips present an opportunity for alleviating the data movement …

Processing-in-memory (PIM) promises to alleviate the data movement bottleneck in modern
computing systems. However, current real-world PIM systems have the inherent …

Today's systems are capable of storing large amounts of data in main memory. Particularly,
in-memory DBMSs benefit from this development. However, the processing of data from the …

CXL interface is the up-to-date technology that enables effective memory expansion by
providing a memory-sharing protocol in configuring heterogeneous devices. However, its …

Data movement between memory and processors is a major bottleneck in modern
computing systems. The processing-in-memory (PIM) paradigm aims to alleviate this …

Computing on encrypted data is a promising approach to reduce data security and privacy
risks, with homomorphic encryption serving as a facilitator in achieving this goal. In this work …

Modern Machine Learning (ML) training on large-scale datasets is a very time-consuming
workload. It relies on the optimization algorithm Stochastic Gradient Descent (SGD) due to …

This paper presents an asynchronous execution scheme to leverage the bank-level
parallelism of near-bank processing-in-memory (PIM). We observe that performing memory …

Processing-in-Memory (PIM) is an attractive device that can effectively satisfy the rapidly
increasing demands for memory-intensive workloads in emerging application domains, such …