Lune

HPCA2024Top-tier venue

Pathfinding Future PIM Architectures by Demystifying a Commercial PIM Technology

Bongjoon Hyun, Taehun Kim, Dongjae Lee, Minsoo Rhu

2024Year
62Citations
21Top-tier citations

Abstract

Processing-in-memory (PIM) has been explored for decades by computer architects, yet it has never seen the light of day in real-world products due to its high design overheads and lack of a killer application. With the advent of critical memoryintensive workloads, several commercial PIM technologies have been introduced to the market, ranging from domain-specific PIM architectures to more general-purpose PIM architectures. In this work, we deepdive into UPMEM's commercial PIM technology, a general-purpose PIM-enabled parallel computing architecture that is highly programmable. Our first key contribution is the development of a flexible simulation framework for PIM. The simulator we developed (aka uPIMulator) enables the compilation of UPMEM-PIM source codes into its compiled machine-level instructions, which are subsequently consumed by our cycle-level performance simulator. Using uPIMulator, we demystify UPMEM's PIM design through a detailed characterization study. Finally, we identify some key limitations of the current UPMEM-PIM system through our case studies and present some important architectural features that will become critical for future PIM architectures to support.

Ask about this paper

Your agent reads all of it.

Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.

Questions to start from

Your agent calls

Luneget_paper_fulltext

Ask in Lune

Free to start. No credit card required.

lune papers fulltext 5d84eb12-fe3c-4b97-9a3f-2085d268cd09

Cited by top-tier papers21

Ask how each one uses it

Builds on25

Related papers

Dusk over the sea between two cliffs drawn in fine vertical lines