QuantumNeuroDNA

CSE 290 -- Non Von Neumann Computer Architectures

 

Instructor: Dean Tullsen

tullsen at cs dot ucsd dot edu

office hours by appointment

Sam Wasmundt will be helping me out with the course in a variety of ways.

This is a paper reading course.  We'll typically read 2 papers a week.  Most will be presented by students.

I expect students to be enrolled for 2 units, s/u. To pass the class, you are expected to read the papers and come prepared to discuss, and to present at least one of the papers. Drop-ins are welcome, as long as you don't displace a registered student from a seat.

Class meets MW 5:00-6:20 in CSE 3109

I want to be open to directions the students want to take with this class, so any suggestions for papers you want to read, or specific topics you want to explore, please send them to me!

Schedule:

September 26 Introduction   Dean
September 28 Neuromorphic:
Tianshi Chen, Zidong Du, Ninghui Sun, Jia Wang, Chengyong Wu, Yunji Chen, and Olivier Temam." DianNao: a small-footprint high-throughput accelerator for ubiquitous machine-learning. ", ASPLOS, 2014.
Sam
October 3 Neuromorphic:
Ali Shafiee, Anirban Nag, Naveen Muralimanohar, Rajeev Balasubramonian, John Paul Strachan, Miao Hu, R. Stanley Williams, Vivek Srikumar, " ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbars, ", ISCA 2016
Craig
October 5 Neuromorphic:
Akopyan F, Sawada J, Cassidy A, Alvarez-Icaza R, Arthur J, Merolla P, Imam N, Nakamura Y, Datta P, Nam G, Taba B, Beakes M, Brezzo B, Kuang JB, Manohar R, Risk W, Jackson B, and Modha D., TrueNorth: Design and Tool Flow of a 65mW 1 Million Neuron Programmable Neurosynaptic Chip, IEEE Transactions on Computer Aided Design (TCAD), 2015
Dhiman
October 10 No class
October 12 Neuromorphic:
Shaoli Liu, Zidong Du, Jinhua Tao, Dong Han, Tao Luo, Yuan Xie, Yunji Chen, and Tianshi Chen. 2016. Cambricon: an instruction set architecture for neural networks. ISCA '16
Harsha
October 17 Neuromorphic:
EIE: Efficient Inference Engine on Compressed Deep Neural Network
Craig
October 19 Quantum:
An introduction to quantum computing for non-physicists
Jack
October 24 Quantum:
A Practical Architecture for Reliable Quantum Computers
Harsha
October 26 Quantum:
IBM's public simulator and Quantum hardware. And make sure you actually run something on their simulator and report it on Wednesday. I couldn't decide if the following was helpful or redundant with the above, so judge for yourself: A gentle introduction based on IBM's public simulator and Quantum hardware.
TBD
October 31 Quantum:
Experimental investigation of an eight-qubit unit cell in a superconducting optimization processor
Harsha
November 2 Quantum:
An Evaluation Framework and Instruction Set Architecture for Ion-Trap based Quantum Micro-architectures
Craig
November 7 Cryogenic:
Energy-Efficient Superconducting Computing -- Power Budgets and Requirements
Dhiman
November 9 Cryogenic:
An 8-bit carry look-ahead adder with 150 ps latency and sub-microwatt power dissipation at 10 GHz
Jack
November 14 Cryogenic:
64-kb Hybrid Josephson-CMOS 4 Kelvin RAM With 400 ps Access Time and 12 mW Read Power
Sam
November 16 DNA:
DNA-based Molecular Architecture with Spatially Localized Components
Kazem
November 21 DNA:
A DNA-based archival storage system
Sam
November 23 No class.
November 28 DNA:
Chain Reaction Systems Based on Loop Dissociation of DNA
Dhiman
November 30 DNA:
Conclusions and discussion
Kazem

 


Other Possible Papers. Please skim the paper for relevance to the class. Feel free to introduce other papers or topics.

 

DNA-based Molecular Architecture with Spatially Localized Components

A DNA-based archival storage system

Scaling Up Digital Circuit Computation with DNA Strand Displacement Cascades

Chain Reaction Systems Based on Loop Dissociation of DNA

Description of the govt's C3 (cryogenic) program (slides).

Energy-Efficient Superconducting Computing -- Power Budgets and Requirements

Superconducting Computing in Large-Scale Hybrid Systems

An 8-bit carry look-ahead adder with 150 ps latency and sub-microwatt power dissipation at 10 GHz

An Evaluation Framework and Instruction Set Architecture for Ion-Trap based Quantum Micro-architectures

A gentle introduction based on IBM's public simulator and Quantum hardware.

IBM's public simulator and Quantum hardware.

DWAVE's quantum computing primer

DWAVE's hardware primer

One of the better slide decks I was able to find.