CSE 240D: Accelerator Design for Deep Learning (Winter 2019)


Instructor: Hadi Esmaeilzadeh


Email: hadi [AT] eng [DOT] ucsd [DOT] edu
Office: CSE 3228

TA:
FatemehSadat Mireshghallah: fmireshg [AT] eng [DOT] ucsd [DOT] edu
Office hours: Thursdays 8-9AM, B240A

Schedule

Lecture Date Presenters
1 Dark Silicon and the End of Multicore Scaling
 01/08/2019 and 01/10/2019 Hadi Esmaeilzadeh
2 DianNao: A Small-Footprint High-Throughput Accelerator for Ubiquitous Machine-Learning 01/24/2019 Dylan Vizcarra
3 Eyeriss: A Spatial Architecture for Energy-Efficient Dataflow for Convolutional Neural Networks 01/29/2019 Dhiman Sengupta
4 Stripes: Bit-serial deep neural network computing 01/31/2019 Debosmit Majumder, Kaiming Liu
5 Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Network 02/5/2019 Sean Kinzer
6 DNNWEAVER: From High-Level Deep Network Models to FPGA Acceleration 02/7/2019 Sreekrishna Ramaswamy, Naga Voruganti
7 SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks 02/12/2019 Prannoy Pilligundla, Rohit Gupta
8 In-Datacenter Performance Analysis of a Tensor Processing Unit  02/14/2019 Joon Kim, Byung Hoon Ahn
9 EIE: Efficient Inference Engine on Compressed Deep Neural Network 02/19/2019
10 PRIME: A Novel Processing-in-memory Architecture for Neural Network Computation in ReRAM-based Main Memory 02/21/2019 Elbruz Ozen, Michael Wibowo
11 ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbars 02/26/2019 Soroush Ghodrati, Moujan Javaheripi
12 RedEye: Analog ConvNet Image Sensor Architecture for Continuous Mobile Vision 02/28/2019 Sai Pampana
13 Neurocube: A Programmable Digital Neuromorphic Architecture with High-Density 3D Memory 03/05/2019 Sharadhi Belachikatte-Ramakri, William Bao
14 Cambricon: An Instruction Set Architecture for Neural Networks 03/07/2019 Sanjay Anantha-Rao
15 Minerva: Enabling Low-Power, Highly-Accurate Deep Neural Network Accelerators 03/12/2019 FatemehSadat Mireshghallah