Machine Learning Accelerators

Publications

Glenn G. Ko and Rob A. Rutenbar (accepted)
‘‘Real-Time and Low-Power Streaming Source Separation Using Markov Random Field.’’
ACM Journal on Emerging Technologies in Computing Systems (2018)

Glenn G. Ko and Rob A. Rutenbar (2015)
‘‘Real-Time Source Separation Using Probabilistic Inference.’’
SRC TECHCON,
Austin, TX, USA, September 2017.

Glenn G. Ko and Rob A. Rutenbar (2017)
‘‘A Case Study on Machine Learning Hardware: Real-time Source Separation using Markov Random Fields via Sampling-based Inference.’’
IEEE International Conference on Acoustics, Speech, and Signal Processing (2017)
New Orleans, LA, USA, March 2017.

Glenn G. Ko and Rob A. Rutenbar (2015)
‘‘A Case Study on Machine Learning Hardware: Real-time Source Separation using Markov Random Fields via Sampling-based Inference.’’
SRC TECHCON,
Austin, TX, USA, September 2015.

Chuanjun Zhang, Glenn G. Ko, Jung Wook Choi, Shang-nien Tsai, Minje Kim, Abner Guzman-Rivera, Rob Rutenbar, Paris Smargdis, Mi Sun Park, Vijay Narayanan, Hongyi Xin, Onur Mutlu, Bin Li, Li Zhao, Mei Chen, and Ravi Iyer (2013)
‘‘EMERALD: Characterization of Emerging Applications and Algorithms for Low-power Devices.’’
IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS),
Austin, TX, USA, April 2013.

Minje Kim, Paris Smaragdis, Glenn G. Ko, and Rob A. Rutenbar (2012)
‘‘Stereophonic Spectrogram Segmentation Using Markov Random Fields.’’
IEEE International Workshop on Machine Learning for Signal Processing (MLSP),
Santander, Spain, September 2012.