CVA Group, Stanford University

Welcome to the Concurrent VLSI Architecture (CVA) group at Stanford University. The CVA group is directed by Prof. Bill Dally and is affiliated with the Computer Systems Laboratory and Pervasive Parallelism Laboratory. Previously the group was part of the Artificial Intelligence Laboratory at MIT.

The CVA Group investigates methods for applying VLSI technology to information processing problems. Ongoing projects address issues in Deep Learning, Computational Genomics, and VLSI design.

News

• Yatish Turakhia joined UC Santa Cruz as a post-doc researcher in summer 2019.
• Song Han joined MIT as an assistant professor in summer 2018.

Members

Projects & Publications

• Publications
• Books
  • Digital Systems Engineering
  • Principles and Practices of Interconnection Networks
• Current Projects
  • Efficient Deep Learning
  • Genomic Sequence Alignment Algorithms and Accelerator
• Previous Projects
  • Scalable Network Fabrics
  • Enabling Technology for On-Chip Networks
  • ESC: Efficient Super-Computing
  • ELM: The Efficient Low-Power Microprocessor
  • Sequoia: Programming the Memory Hierarchy
  • Template Based FPGA Computing Applied to Bioinformatics
  • Merrimac (Formerly Stanford Streaming Supercomputer)
  • High Speed Signaling
  • Smart Memories
  • Imagine
  • M-Machine
  • Reliable Router
  • J-Machine

Courses

• Current
• EE 26N - Green Electronics
• Previous
• EE108a - Digital Systems I
• EE108b - Digital Systems II
• EE382c - Interconnection Networks
• CS 99S - The Coming Revolution in Computer Architecture (freshman seminar)
• EE273 - Digital Systems Engineering
• EE482s - Advanced Computer Organization: Stream Processor Architecture
• EE482a - Advanced Computer Organization: Processor Microarchitecture
• EE482b - Advanced Computer Organization: Interconnection Networks

Chip Gallery

• Die Photos

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