Systolic arrays are arrays of DPUs which are connected to a small number of nearest neighbour DPUs in a mesh-like topology. DPUs perform a sequence of operations on data that flows between them.

Jul 11, 2025 · In a systolic array, there are a large number of identical simple processors or processing elements (PEs) that are arranged in a well-organized structure such as a linear or two-dimensional …

Mar 31, 2025 · A systolic array is a two-dimensional grid of Processing Elements (PEs) —typically multiply-accumulate (MAC) units—connected in a pipelined and synchronized architecture.

Systolic and wavefront arrays are determined by pipelining data concurrently with the (multi)processing - data and computational pipelining. Wavefront arrays use data-driven processing capability. Systolic …

Systolic arrays: dense compute units; data flows through these units with low rd/wr costs; loose connection with the brain; effective for image processing, pattern recog, etc.

Jul 30, 2018 · If you follow the hardware for deep learning space, you may have heard of the term “systolic array”. A 2D systolic array forms the heart of the Matrix Multiplier Unit (MXU) on the Google …

Systolic arrays are defined as algorithmically specialized hardware systems designed to implement specific algorithms, characterized by regular and modular structures that align with the computational …

Nov 7, 2025 · The systolic array is a specialized parallel computing architecture designed to maximize throughput for highly repetitive computational tasks. It functions much like a high-speed assembly …

A systolic array features a mesh-connected array of simple processing elements (PE). According to H.T. Kung [13], "In a systolic tem, data flows from the computer memory in a rhythmic fashion, passing …

Unfortunately, employing such large numbers of parallel systolic arrays poses a unique set of challenges to maintain high utilization across arrays. In this section, we also show how the proposed …