NY Architecture & Systems Day 2026
Princeton University · May 15, 2026
Hosted by Emerging Frontiers in Architecture and Systems, Princeton SEAS Cluster of Excellence.
Date: Friday, May 15, 2026
Time: 9:00 AM – 4:45 PM
Location: The Commons, Room D301, Princeton University
Overview
Following the tradition of our annual regional gatherings, we are bringing together faculty, industry researchers and students across areas to share research, discuss new ideas, and strengthen our local collaborations in computer architecture and systems.
This will be an opportunity to engage and exchange ideas with fellow computer architects and systems researchers in an informal setting. We look forward to seeing you there!
Schedule
| Time | Event |
|---|---|
| 9:00 AM – 10:00 AM | Welcome & Refreshments Speakers: Sneha Goenka and Abhishek Bhattachrjee, Princeton University |
| 10:00 AM – 11:00 AM | [Keynote] Enabling Enterprise AI with IBM Spyre Speaker: Vijayalakshmi Srinivasan, Distinguished Research Engineer, IBM |
| 11:00 AM – 12:00 PM | Student Presentations — Session 1 Chair: Harsh Desai, Yale University |
| 12:00 PM – 1:30 PM | Lunch & Remarks by Princeton SEAS Dean Houck |
| 1:30 PM – 2:45 PM | Student Presentations — Session 2 Chair: Haiyue Ma, Princeton University |
| 2:45 PM – 3:00 PM | Lightning Talks |
| 3:00 PM – 4:30 PM | Poster Session with Drinks, Snacks and Networking |
| 4:30 PM – 4:45 PM | Closing Remarks |
Keynote
Speaker: Viji Srinivasan, IBM
Title: Enabling Enterprise AI with IBM Spyre
AI advancements, in Generative AI and Foundation Models, can significantly enhance mission-critical enterprise workloads. The high computational demands of AI require AI accelerator hardware solutions and full-stack AI infrastructure optimization. IBM Spyre is an enterprise AI accelerator hardware and software solution for IBM systems. This talk will discuss the design and technology approaches taken in the creation of IBM Spyre, and a look towards options for future versions.
Viji Srinivasan is a Distinguished Engineer and a manager of the accelerator architectures and compilers group at the IBM T.J. Watson Research Center in Yorktown Heights. At IBM, she has worked on various aspects of data management including energy-efficient processor designs, microarchitecture of the memory hierarchies of large-scale servers, cache coherence management of symmetric multiprocessors, accelerators for data analytics applications and more recently end-to-end accelerator solutions for AI. Many of her research contributions have been incorporated into IBM’s Power & System-z Enterprise-class servers.
Student Presentations
Confirmed talks will be listed below as they are accepted. Please check back closer to the event for the full lineup.
Session 1
| Name | Affiliation | Title |
|---|---|---|
| Mingkai Li | Columbia University | NanoTag: Systems Support for Efficient Byte-Granular Overflow Detection on ARM MTE |
| Matthew Weingarten | Columbia University | ComPetriot: Automatic Generation of Performance Characterization Methodologies using Petri Nets |
| Haiyue Ma | Princeton University | Hardware Mechanisms for AI Capability Control |
| Tawhid Bhuiyan | Columbia University | Wax: Optimizing Data Center Applications With Stale Profile |
| Deniz Najafi | NJIT | In-Sensor Compressed Weight Retrieval for Enhancing ViT Efficiency at Edge |
| Ryan Piersma | Columbia University | SuperCoin: Securing Decentralized Power Management |
Session 2
| Name | Affiliation | Title |
|---|---|---|
| Michael Grieco | Columbia University | Workload-Independent Power Monitoring for Characterization and Hotspot Prevention |
| Hongyu Hè | Princeton University | Making AI in Networked Systems Controllable via Formal Logic |
| Je Yang | Columbia University | A Coherence-Aware Runtime Reconfigurable System-on-Chip for Efficient Language Model Inference |
| Nick Lindsay | Yale University | CounterPoint: Microarchitectural Modeling with Hardware Event Counters |
| Alhad Daftardar | New York University | zkPHIRE: A Programmable Accelerator for Zero Knowledge Proofs over HIgh-degRee, Expressive Gates |
| Michael Wu | Yale University | Using AI Tools for Systems Research |
Poster Session
| Name | Affiliation | Title |
|---|---|---|
| Coco Gong | Princeton University | Assertions Framework for Static Kernels in CUDA-Q |
| Mehrdad Morsali | New Jersey Institute of Technology | Optical Acceleration for vision transformers |
| Zhuoping Yang | Brown University | AGILE: Lightweight and Efficient Asynchronous GPU-SSD Integration |
| Eslem Saka | Princeton University | LOChNES: Modeling the Data Movement and On-Chip Network Energy in Neural Network Inference |
| Anushka Hebbar | Yale University | Shared Flow Control with Coherence QoS |
| Winston Li | Rutgers University | Efficient Encoding for Qudit Quantum Reed-Muller Codes |
| Rena Feng | Princeton University | Scaling SupermarQ to GPUs and Modern Quantum Machines |
| Junjie Zhao | University of Rochester | End-to-End Wireless Varifocal AR Prototype |
| Ye Yuan | Brown University | End-to-End System Integration for CHARM Accelerator-Based Edge AI Inference on VCK190 |
| Era Thaqi | Princeton University | Shot Allocation Strategies in Debugging Quantum Circuits |
| Anton Melnychuk | Yale University | Next-Generation Responsive Neurostimulation for Real-Time Seizure Detection and Preclinical Validation |
RSVP
RSVPs help us plan space and refreshments. Please register using the form below if you plan to attend.
Organizers
Assistant Professor
Lead, Emerging Frontiers in Computer Architecture and Systems
Princeton University
Please contact the organizer if you have any questions.
Location
This event will be held in The Commons, Room D301, on the Princeton University campus. The Commons is one of the newest buildings on campus, but up-to-date campus maps include it.
GPS Address
- 11 Ivy Lane, Princeton, NJ
- The Commons is located directly in front of Tiger Stadium. It is a short walk from Stadium Garage, at the intersection of Stadium Drive and Ivy Lane.
- Entry Instructions: Use the entrance across from the metal tiger sculpture at the football stadium.
- Take elevator #4 to 3rd floor
- D301 will be straight ahead
Parking
Free daily parking permits for the Princeton University Stadium Drive Garage are required for visitors on weekdays from 7 AM to 4 PM. Registration is done online or by scanning a QR code at the garage.
Parking Permit Required:
- Online: Click here to complete the online registration form.
- On-Site: Upon arrival at the Stadium Drive Garage, push the button at the gate to receive a ticket and scan the QR code.
Directions:
- From Newark Airport (EWR): Take the AirTrain to Newark Airport Station, then NJ Transit's Northeast Corridor Line to Princeton Junction. Transfer to the Dinky shuttle for one stop to Princeton Station.
- From NY Penn Station: Take NJ Transit's Northeast Corridor Line (Trenton-bound) to Princeton Junction, then the Dinky to Princeton Station.
- From Philadelphia 30th Street Station: Take Amtrak (Northeast Regional or Keystone Service) to Princeton Junction, then the Dinky to Princeton Station.
- By car: Take Route 1 to the Harrison Street exit toward Princeton. Turn left onto Faculty Road. Turn right onto Sweetgum Dr., and make the first right turn to Stadium Garage.
Interactive Campus Map: https://campusmap.princeton.edu/