Abstract Processing-in-memory (PIM) techniques have gained much attention from computer
architecture researchers, and significant research effort has been invested in exploring and …

Memory latency and bandwidth are significant bottlenecks in designing in-memory indexes.
Processing-in-memory (PIM), an emerging hardware design approach, alleviates this …

Semisort is a fundamental algorithmic primitive widely used in the design and analysis of
efficient parallel algorithms. It takes input as an array of records and a function extracting a …

In recent years, the ever-increasing impact of memory access bottlenecks has brought forth
a renewed interest in near-memory processing (NMP) architectures. In this work, we …

We present a new parallel model of computation suitable for spatial architectures, for which
the energy used for communication heavily depends on the distance of the communicating …

In recent years, the field of Deep Learning has seen many disruptive and impactful
advancements. Given the increasing complexity of deep neural networks, the need for …

Abstract Processing-in-memory (PIM) is a computing paradigm through which computations
and processing can be performed within the memory of a computer, server, or related …

Processing-in-Memory (PiM), which combines a memory device with a Processing Unit (PU)
into an integrated chip, has drawn special attention in the field of Artificial Intelligence …

Pointer chasing becomes the performance bottleneck for today's in-memory indexes due to
the memory wall. Emerging processing-in-memory (PIM) technologies are promising to …