


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