Wave Computing CTO to Present Latest Details of its Dataflow Systems at Prestigious Technical Conferences
CAMPBELL, Calif., April 9, 2018 -- Wave Computing®, the Silicon Valley company that is revolutionizing artificial intelligence (AI) and deep learning with its dataflow-based systems, announced today that Chief Technology Officer Dr. Chris Nicol will be presenting at the IEEE Custom Integrated Circuits Conference (CICC) event being held in San Diego, Calif., beginning today. The title of his presentation will be “Training Deep Neural Networks on a Reconfigurable Non-Von Neumann Computer Architecture.” Additionally, Nicol will present at the Linley Spring Processor Conference on Wednesday, April 11, in Santa Clara, Calif. The title of his presentation will be “Training a Neural Network Using Dataflow Computing.”
In these presentations Nicol will detail how replacing the legacy CPU + coprocessor computer architecture paradigm with a dataflow-based approach enables a superior, more scalable platform for the training and inferencing of deep neural networks. He will show how Wave Computing’s AI systems leverage data and model parallelism with the mapping of a deep neural network graph on Wave’s dataflow architecture. In addition, Nicol will present training examples of the company’s variable fixed point Versipoint™ technology, as well as preview Wave’s upcoming system for on-premise use.
About Dr. Chris Nicol
Dr. Chris Nicol is the CTO of Wave Computing and the lead architect of the DPU architecture incorporated into the company’s deep learning solutions. In addition to his duties as CTO, Nicol leads the architectural teams for hardware and software as well as the company’s data science efforts. Prior to Wave Computing he was CTO of Embedded Systems at NICTA, an Australian ICT R&D organization he helped establish. There he supported more than 20 R&D projects across 5 labs in hardware and software development for intelligent, secure, robust and power efficient embedded systems. Prior to NICTA, Nicol founded Bell Labs Research in Australia and Agere Systems in Australia, in addition to working for AT&T Bell Labs in New Jersey.
Nicol received his PhD degree from the University of New South Wales and his MBA from the Australian Graduate School of Management. He is an inventor on 21 U.S. patents and has served on the TPC of ISSCC twice, and is serving his second term on the TPC of IEEE International Symposium on Low Power Electronics and Design.
About Wave Computing
Wave Computing, Inc. is the Silicon Valley company that is revolutionizing artificial intelligence and deep learning with its dataflow-based systems. The company’s vision is to “follow the data” and bring deep learning to customers’ data wherever it may be—from the datacenter to the edge of the cloud. Offering its solutions to customers globally, Wave Computing has been named Frost & Sullivan’s 2018 “Machine Learning Industry Technology Innovation Leader,” and has been recognized by CIO Application Magazine’s as one of the “Top 25 Artificial Intelligence Providers.”
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