Minsik Cho

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 45

Top Topics

Keyword Spotting

Top Venues

Publications

Minsik Cho, Mohammad Rastegari, Devang Naik
KV-Runahead: Scalable Causal LLM Inference by Parallel Key-Value Cache Generation. CoRR (2024)
Minsik Cho, Keivan Alizadeh-Vahid, Qichen Fu, Saurabh Adya, Carlo C. del Mundo, Mohammad Rastegari, Devang Naik, Peter Zatloukal
eDKM: An Efficient and Accurate Train-Time Weight Clustering for Large Language Models. IEEE Comput. Archit. Lett. 23 (1) (2024)
Qichen Fu, Minsik Cho, Thomas Merth, Sachin Mehta, Mohammad Rastegari, Mahyar Najibi
LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference. CoRR (2024)
Utkarsh Oggy Sarawgi, John Berkowitz, Vineet Garg, Arnav Kundu, Minsik Cho, Sai Srujana Buddi, Saurabh Adya, Ahmed H. Tewfik
Streaming Anchor Loss: Augmenting Supervision with Temporal Significance. ICASSP (2024)
Kumari Nishu, Minsik Cho, Paul Dixon, Devang Naik
Flexible Keyword Spotting Based on Homogeneous Audio-Text Embedding. ICASSP (2024)
Keivan Alizadeh, Seyed-Iman Mirzadeh, Dmitry Belenko, S. Khatamifard, Minsik Cho, Carlo C. del Mundo, Mohammad Rastegari, Mehrdad Farajtabar
LLM in a flash: Efficient Large Language Model Inference with Limited Memory. ACL (1) (2024)
Kumari Nishu, Minsik Cho, Devang Naik
Matching Latent Encoding for Audio-Text based Keyword Spotting. CoRR (2023)
Minsik Cho, Saurabh Adya, Devang Naik
PDP: Parameter-free Differentiable Pruning is All You Need. CoRR (2023)
Minsik Cho, Saurabh Adya, Devang Naik
PDP: Parameter-free Differentiable Pruning is All You Need. NeurIPS (2023)
Arnav Kundu, Chungkuk Yoo, Srijan Mishra, Minsik Cho, Saurabh Adya
R^2: Range Regularization for Model Compression and Quantization. CoRR (2023)
Kumari Nishu, Minsik Cho, Devang Naik
Matching Latent Encoding for Audio-Text based Keyword Spotting. INTERSPEECH (2023)
Donguk Seo, Minsik Cho, Minhyeok Jeong, Gicheol Shin, Inhee Lee, David T. Blaauw, Yoonmyung Lee
An RC Delay-Based Pressure-Sensing System With Energy-Efficient Bit-Level Oversampling Techniques for Implantable IOP Monitoring Systems. IEEE J. Solid State Circuits 58 (10) (2023)
Duc N. M. Hoang, Minsik Cho, Thomas Merth, Mohammad Rastegari, Zhangyang Wang
(Dynamic) Prompting might be all you need to repair Compressed LLMs. CoRR (2023)
Arnav Kundu, Mohammad Samragh, Minsik Cho, Priyanka Padmanabhan, Devang Naik
HEiMDaL: Highly Efficient Method for Detection and Localization of Wake-Words. ICASSP (2023)
Keivan Alizadeh, Iman Mirzadeh, Dmitry Belenko, Karen Khatamifard, Minsik Cho, Carlo C. Del Mundo, Mohammad Rastegari, Mehrdad Farajtabar
LLM in a flash: Efficient Large Language Model Inference with Limited Memory. CoRR (2023)
Kumari Nishu, Minsik Cho, Paul Dixon, Devang Naik
Flexible Keyword Spotting based on Homogeneous Audio-Text Embedding. CoRR (2023)
Mohammad Samragh, Arnav Kundu, Ting-Yao Hu, Aman Chadha, Ashish Srivastava, Minsik Cho, Oncel Tuzel, Devang Naik
I See What You Hear: A Vision-Inspired Method to Localize Words. ICASSP (2023)
Minsik Cho, Keivan Alizadeh-Vahid, Qichen Fu, Saurabh Adya, Carlo C. Del Mundo, Mohammad Rastegari, Devang Naik, Peter Zatloukal
eDKM: An Efficient and Accurate Train-time Weight Clustering for Large Language Models. CoRR (2023)
Utkarsh Oggy Sarawgi, John Berkowitz, Vineet Garg, Arnav Kundu, Minsik Cho, Sai Srujana Buddi, Saurabh Adya, Ahmed H. Tewfik
Streaming Anchor Loss: Augmenting Supervision with Temporal Significance. CoRR (2023)
Minsik Cho, Keivan Alizadeh-Vahid, Saurabh Adya, Mohammad Rastegari
DKM: Differentiable k-Means Clustering Layer for Neural Network Compression. ICLR (2022)
Prateeth Nayak, Takuya Higuchi, Anmol Gupta, Shivesh Ranjan, Stephen Shum, Siddharth Sigtia, Erik Marchi, Varun Lakshminarasimhan, Minsik Cho, Saurabh Adya, Chandra Dhir, Ahmed H. Tewfik
Improving Voice Trigger Detection with Metric Learning. CoRR (2022)
Prateeth Nayak, Takuya Higuchi, Anmol Gupta, Shivesh Ranjan, Stephen Shum, Siddharth Sigtia, Erik Marchi, Varun Lakshminarasimhan, Minsik Cho, Saurabh Adya, Chandra Dhir, Ahmed H. Tewfik
Improving Voice Trigger Detection with Metric Learning. INTERSPEECH (2022)
Yeohoon Yoon, Hyungmin Gi, Jongmin Lee, Minsik Cho, Changyoun Im, Yongmin Lee, Chisung Bae, Sang Joon Kim, Yoonmyung Lee
A Continuously-Scalable-Conversion-Ratio Step-Up/Down SC Energy-Harvesting Interface With MPPT Enabled by Real-Time Power Monitoring With Frequency-Mapped Capacitor DAC. IEEE Trans. Circuits Syst. I Regul. Pap. 69 (4) (2022)
Mohammad Samragh, Arnav Kundu, Ting-Yao Hu, Minsik Cho, Aman Chadha, Ashish Shrivastava, Oncel Tuzel, Devang Naik
I see what you hear: a vision-inspired method to localize words. CoRR (2022)
Arnav Kundu, Mohammad Samragh Razlighi, Minsik Cho, Priyanka Padmanabhan, Devang Naik
HEiMDaL: Highly Efficient Method for Detection and Localization of wake-words. CoRR (2022)
Rameswar Panda, Michele Merler, Mayoore S. Jaiswal, Hui Wu, Kandan Ramakrishnan, Ulrich Finkler, Chun-Fu (Richard) Chen, Minsik Cho, Rogério Feris, David S. Kung, Bishwaranjan Bhattacharjee
NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search. AAAI (2021)
Minsik Cho, Keivan Alizadeh-Vahid, Saurabh Adya, Mohammad Rastegari
DKM: Differentiable K-Means Clustering Layer for Neural Network Compression. CoRR (2021)
Mayoore S. Jaiswal, Bumsoo Kang, Jinho Lee, Minsik Cho
MUTE: Inter-class Ambiguity Driven Multi-hot Target Encoding for Deep Neural Network Design. CVPR Workshops (2020)
Rameswar Panda, Michele Merler, Mayoore Jaiswal, Hui Wu, Kandan Ramakrishnan, Ulrich Finkler, Chun-Fu Chen, Minsik Cho, David S. Kung, Rogério Feris, Bishwaranjan Bhattacharjee
NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search. CoRR (2020)
Ulrich Finkler, Michele Merler, Rameswar Panda, Mayoore S. Jaiswal, Hui Wu, Kandan Ramakrishnan, Chun-Fu Chen, Minsik Cho, David S. Kung, Rogério Feris, Bishwaranjan Bhattacharjee
Large Scale Neural Architecture Search with Polyharmonic Splines. CoRR (2020)
Minsik Cho
Scalable Deep Learning Inference: Algorithmic Approach. IPDPS Workshops (2020)
Chungkuk Yoo, Bumsoo Kang, Minsik Cho
SNOW: Subscribing to Knowledge via Channel Pooling for Transfer & Lifelong Learning of Convolutional Neural Networks. ICLR (2020)
Inseok Hwang, Jinho Lee, Frank Liu, Minsik Cho
SimEx: Express Prediction of Inter-dataset Similarity by a Fleet of Autoencoders. CoRR (2020)
Jinho Lee, Inseok Hwang, Soham Shah, Minsik Cho
FlexReduce: Flexible All-reduce for Distributed Deep Learning on Asymmetric Network Topology. DAC (2020)
Mayoore S. Jaiswal, Bumsoo Kang, Jinho Lee, Minsik Cho
MUTE: Data-Similarity Driven Multi-hot Target Encoding for Neural Network Design. CoRR (2019)
Yuzhe Ma, Ran Chen, Wei Li, Fanhua Shang, Wenjian Yu, Minsik Cho, Bei Yu
A Unified Approximation Framework for Compressing and Accelerating Deep Neural Networks. ICTAI (2019)
Minsik Cho, Ulrich Finkler, Mauricio J. Serrano, David S. Kung, Hillery C. Hunter
BlueConnect: Decomposing all-reduce for deep learning on heterogeneous network hierarchy. IBM J. Res. Dev. 63 (6) (2019)
E. A. Huerta, Gabrielle Allen, Igor Andreoni, Javier Mauricio Antelis, Etienne Bachelet, G. Bruce Berriman, Federica B. Bianco, Rahul Biswas, Matias Carrasco Kind, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Maya Fishbach, Francisco Förster, Daniel George, Tom Gibbs, Matthew J. Graham, William Gropp, Robert A. Gruendl, Anushri Gupta, Roland Haas, Sarah Habib, Elise Jennings, Margaret W. G. Johnson, Erik Katsavounidis, Daniel S. Katz, Asad Khan, Volodymyr V. Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Zsuzsa Márka, Kenton McHenry, Jonah Miller, Claudia Moreno, Mark Neubauer, Steve Oberlin, Alexander R. Olivas, Donald Petravick, Adam Rebei, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alexander G. Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Leo Singer, Brigitta M. Sipocz, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao
Enabling real-time multi-messenger astrophysics discoveries with deep learning. CoRR (2019)
Minsik Cho, Ulrich Finkler, David S. Kung, Hillery C. Hunter
BlueConnect: Decomposing All-Reduce for Deep Learning on Heterogeneous Network Hierarchy. MLSys (2019)
Gabrielle Allen, Igor Andreoni, Etienne Bachelet, G. Bruce Berriman, Federica B. Bianco, Rahul Biswas, Matias Carrasco Kind, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Daniel George, Tom Gibbs, Matthew J. Graham, William Gropp, Anushri Gupta, Roland Haas, E. A. Huerta, Elise Jennings, Daniel S. Katz, Asad Khan, Volodymyr V. Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Kenton McHenry, J. M. Miller, Mark Neubauer, Steve Oberlin, Alexander Reinefeld, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alexander G. Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Brigitta Miksztai-Réthey, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao
Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era. CoRR (2019)
Samuel Matzek, Max Grossman, Minsik Cho, Anar Yusifov, Bryant Nelson, Amit Juneja
Data-parallel distributed training of very large models beyond GPU capacity. CoRR (2018)
Yuzhe Ma, Ran Chen, Wei Li, Fanhua Shang, Wenjian Yu, Minsik Cho, Bei Yu
A Unified Approximation Framework for Deep Neural Networks. CoRR (2018)
Minsik Cho, Ulrich Finkler, Sameer Kumar, David S. Kung, Vaibhav Saxena, Dheeraj Sreedhar
PowerAI DDL. CoRR (2017)
Minsik Cho, Daniel Brand
MEC: Memory-efficient Convolution for Deep Neural Network. CoRR (2017)
Minsik Cho, Daniel Brand
MEC: Memory-efficient Convolution for Deep Neural Network. ICML (2017)
Minsik Cho, Daniel Brand, Rajesh Bordawekar, Ulrich Finkler, Vincent KulandaiSamy, Ruchir Puri
PARADIS: An Efficient Parallel Algorithm for In-place Radix Sort. Proc. VLDB Endow. 8 (12) (2015)
Hua Xiang, Minsik Cho, Haoxing Ren, Matthew M. Ziegler, Ruchir Puri
Network flow based datapath bit slicing. ISPD (2013)
Minsik Cho, Hua Xiang, Haoxing Ren, Matthew M. Ziegler, Ruchir Puri
LatchPlanner: latch placement algorithm for datapath-oriented high-performance VLSI designs. ICCAD (2013)
Bei Yu, Jhih-Rong Gao, Duo Ding, Yongchan Ban, Jae-Seok Yang, Kun Yuan, Minsik Cho, David Z. Pan
Dealing with IC manufacturability in extreme scaling (Embedded tutorial paper). ICCAD (2012)
Xiaoping Tang, Minsik Cho
Optimal layout decomposition for double patterning technology. ICCAD (2011)
Jae-Seok Yang, Katrina Lu, Minsik Cho, Kun Yuan, David Z. Pan
A new graph-theoretic, multi-objective layout decomposition framework for double patterning lithography. ASP-DAC (2010)
David Z. Pan, Minsik Cho, Kun Yuan
Manufacturability Aware Routing in Nanometer VLSI. Found. Trends Electron. Des. Autom. 4 (1) (2010)
Hua Xiang, Haoxing Ren, Louise Trevillyan, Lakshmi N. Reddy, Ruchir Puri, Minsik Cho
Logical and physical restructuring of fan-in trees. ISPD (2010)
Minsik Cho, Haoxing Ren, Hua Xiang, Ruchir Puri
History-based VLSI legalization using network flow. DAC (2010)
Minsik Cho, David Z. Pan, Ruchir Puri
Novel binary linear programming for high performance clock mesh synthesis. ICCAD (2010)
Minsik Cho, Katrina Lu, Kun Yuan, David Z. Pan
BoxRouter 2.0: A hybrid and robust global router with layer assignment for routability. ACM Trans. Design Autom. Electr. Syst. 14 (2) (2009)
Minsik Cho, Kun Yuan, Yongchan Ban, David Z. Pan
ELIAD: Efficient Lithography Aware Detailed Routing Algorithm With Compact and Macro Post-OPC Printability Prediction. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 28 (7) (2009)
Minsik Cho, David Z. Pan
A high-performance droplet router for digital microfluidic biochips. ISPD (2008)
Minsik Cho, David Z. Pan
A High-Performance Droplet Routing Algorithm for Digital Microfluidic Biochips. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 27 (10) (2008)
Minsik Cho, Kun Yuan, Yongchan Ban, David Z. Pan
ELIAD: efficient lithography aware detailed router with compact post-OPC printability prediction. DAC (2008)
Minsik Cho, Hua Xiang, Ruchir Puri, David Z. Pan
Track Routing and Optimization for Yield. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 27 (5) (2008)
Minsik Cho, David Z. Pan
Fast Substrate Noise Aware Floorplanning for Mixed Signal SOC Designs. IEEE Trans. Very Large Scale Integr. Syst. 16 (12) (2008)
Tung-Chieh Chen, Minsik Cho, David Z. Pan, Yao-Wen Chang
Metal-Density-Driven Placement for CMP Variation and Routability. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 27 (12) (2008)
Tung-Chieh Chen, Minsik Cho, David Z. Pan, Yao-Wen Chang
Metal-density driven placement for cmp variation and routability. ISPD (2008)
David Z. Pan, Minsik Cho
Synergistic physical synthesis for manufacturability and variability in 45nm designs and beyond. ASP-DAC (2008)
Minsik Cho, Yongchan Ban, David Z. Pan
Double patterning technology friendly detailed routing. ICCAD (2008)
Minsik Cho, Katrina Lu, Kun Yuan, David Z. Pan
BoxRouter 2.0: architecture and implementation of a hybrid and robust global router. ICCAD (2007)
Minsik Cho, David Z. Pan
BoxRouter: A New Global Router Based on Box Expansion and Progressive ILP. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 26 (12) (2007)
Minsik Cho, Hua Xiang, Ruchir Puri, David Z. Pan
TROY: Track Router with Yield-driven Wire Planning. DAC (2007)
Minsik Cho, David Z. Pan, Hua Xiang, Ruchir Puri
Wire density driven global routing for CMP variation and timing. ICCAD (2006)
Minsik Cho, Hongjoong Shin, David Z. Pan
Fast substrate noise-aware floorplanning with preference directed graph for mixed-signal SOCs. ASP-DAC (2006)
Minsik Cho, David Z. Pan
PEAKASO: Peak-Temperature Aware Scan-Vector Optimization. VTS (2006)
Minsik Cho, David Z. Pan
BoxRouter: a new global router based on box expansion and progressive ILP. DAC (2006)
Minsik Cho, Suhail Ahmed, David Z. Pan
TACO: temperature aware clock-tree optimization. ICCAD (2005)