A Performance Analysis of Chiplet-Based Systems
Paper in proceeding, 2025

As the semiconductor industry struggles to keep Moore's law alive and integrate more functionality on a chip, multi-chiplet chips offer a lower cost alternative to large monolithic chips due to their higher yield. However, chiplet-based chips are naturally Non-Uniform Memory Access (NUMA) systems and therefore suffer from slow remote accesses. NUMA overheads are exacerbated by the limited throughput and higher latency of inter-chiplet communication. This paper offers a comprehensive analysis of chiplet-based systems with different design parameters measuring their performance overheads compared to traditional monolithic multicore designs and their scalability to system and chiplet size. Several design alternatives pertaining to the memory hierarchy, interconnects, and technology aspects are studied. Our analysis shows that although chiplet-based chips can cut (recurring engineering) costs to half, they may give away over a third of the monolithic performance. Part of this performance overhead can be regained with specific design choices.

Chiplets

Non-Uniform Memory Access (NUMA)

Performance Analysis

Author

Neethu Bal Mallya

Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers)

Panagiotis Strikos

Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers)

Bhavishya Goel

Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers)

Ahsen Ejaz

Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers)

Ioannis Sourdis

Chalmers, Computer Science and Engineering (Chalmers), Computer Engineering (Chalmers)

2025 Design, Automation & Test in Europe Conference (DATE)

1530-1591 (ISSN) 1558-1101 (eISSN)


978-3-9826741-0-0 (ISBN)

2025 Design, Automation & Test in Europe Conference (DATE)
Lyon, France,

Principer för beräknande minnesenheter (PRIDE)

Swedish Foundation for Strategic Research (SSF) (DnrCHI19-0048), 2021-01-01 -- 2025-12-31.

Subject Categories (SSIF 2025)

Computer Sciences

Computer Engineering

Computer Systems

DOI

10.23919/DATE64628.2025.10992969

More information

Latest update

5/27/2025