• Eyeriss’ spatial architecture (basic tile, operand network) • ISAAC (analog) •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.

Basic principle: Replace a single PE with a regular array of PEs and carefully orchestrate flow of data between the PEs Balance computation and memory bandwidth

Sep 22, 2023 · Linear data structures are commonly used for organising and manipulating data in a sequential fashion. Some of the most common linear data structures include: Arrays: A collection of elements stored in contiguous memory locations. Linked Lists: A collection of nodes, each containing an element and a reference to the next node.

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 arrays use local instruction codes synchronized globally.

Types of systolic arrays • Early systolic arrays are linear arrays and one dimensional(1D) or two dimensional I/O(2D). • Most recently, systolic arrays are implemented as planar array with perimeter I/O to feed data through the boundary. • Linear array with 1D I/O. This configuration is suitable for single I/O. • Linear array with 2D I/O.

Systolic array architectures with same project vector and processor space vector, but different scheduling vectors can be derived from other transformations Edge reversal, associativity, slow-down, retiming, and pipelining

Feb 1, 2012 · In this paper, VLSI array architectures for matrix inversion are studied. A new binary-coded z -path (Bi-z) CORDIC is developed and implemented to compute the operations required in the matrix inversion using the Givens rotation (GR) based QR decomposition.

Most existing works focus on designing a linear array architecture for accelerating matrix multiplication on FPGAs. This paper towards the extension of this architecture by proposing a scalable and highly con・“urable multi-array architecture.

As depicted in Figure 1, a systolic array is often into a linear array, a two-dimensional rectangular mesh array, or sometimes, dimensional hexagonal mesh array. In a systolic array, every PE is connected to its nearest neighboring PEs through dedicated, buffered local bus.

We explore the design space for full-search vector quantizers and propose a novel linear processor array architecture in which global wiring is limited to clock and power supply distribution, thus allowing high-speed processing in spite of only limited communication with the host via the boundary processors.