iMACAW @ DAC 2026

An In-Memory Architectures and Computing Applications Workshop

The iMACAW aims at providing a forum to discuss In-Memory-Computing as an alternative architecture and its applications. We take a cross-technology approach covering works that use SRAM, DRAM, FLASH, RRAM, PCM, MRAM, and FeFET as their memory technology. The workshop features renowned speakers from academia and industry, plus a limited selection of top submissions.

Location: The Long Beach Convention Center in Long Beach, CA, USA
Date and Time: Jul/26/2026, 9:00 am to 5:00 pm

Program

The proposed format for the workshop is a full-day workshop featuring:

High-Profile Speakers

Renowned scientists from academia and industry will present their latest work

Panel Discussions

Panel discussions on the latest challenges and the future of in-memory computing

Oral and Poster Presentations

A limited selection of submissions will present their recent work

Agenda

Time	Title	Speaker
09:00 - 9:10	Opening Remarks
	Session 1
09:10 - 10:10	In-Memory Computing Prospects for Scalable AI Platforms	Naveen Verma
10:10 - 10:40	Towards Programmable, Heterogeneous Compute-in-Memory Fabrics for Edge AI	Haitong Li
10:40 - 11:00	Coffee Break
	Session 2
11:00 - 11:45	Digital In-Memory Computing-based AI MCU for Post-deployment On-Chip Fine-Tuning and Inference	Mingoo Seok
11:45 - 12:30	Spintronic Memory and Computing	Hao Cai
12:30 - 1:30	Lunch Break
	Session 3
13:30 - 14:30	Memristors for AI and Neuromorphic Computing	Joshua Yang
14:30 - 15:00	Spike-Driven Intelligence for Scalable In-Memory Accelerators	Abhishek Moitra
15:00 - 15:40	Coffee Break
	Session 4
15:40 - 16:50	Panel Discussions: In-Memory Computing Now and Future	All Speakers
16:50 - 17:00	Closing Remarks

Keynote Speakers

Naveen Verma

Princeton University

In-Memory Computing Prospects for Scalable AI Platforms

J. Joshua Yang

University of Southern California

Memristors for AI and Neuromorphic Computing

Distinguished Speakers

Mingoo Seok

Columbia University

Digital In-Memory Computing-based AI MCU for Post-deployment On-Chip Fine-Tuning and Inference

Hao Cai

Southeast University

Spintronic Memory and Computing

Haitong Li

Purdue University

Towards Programmable, Heterogeneous Compute-in-Memory Fabrics for Edge AI

Abhishek Moitra

Washington State University

Spike-Driven Intelligence for Scalable In-Memory Accelerators

Call for Submission

Submit an abstract to have a chance at presenting your work at iMACAW

Please submit an extended abstract up to 2 pages using the IEEE conference format to be considered for showcasing your work in oral presentations and interact with workshop attendees. DAC will not produce proceedings for workshops, however, the workshop organizers collect the camera-ready submissions and publish them on the workshop website.

Timeline:

Abstract submission deadline: Jun/01/2026
Notification of acceptance: Jun/15/2026
Final abstract submission: Jul/15/2026

* All deadlines are until the end of that day, anywhere on earth

Organizers

Feel free to contact us for any questions or concerns

Nima Taherinejad

Heidelberg University

nima.taherinejad@ziti.uni-heidelberg.de

Deliang Fan

Arizona State University

dfan@asu.edu

Wantong Li

University of California, Riverside

wantong.li@ucr.edu