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2020 – today
- 2024
[j13]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): 37-40 (2024)- [c40]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: 12562-12584 - [c39]Kumari Nishu, Minsik Cho, Paul Dixon, Devang Naik:
Flexible Keyword Spotting Based on Homogeneous Audio-Text Embedding. ICASSP 2024: 5050-5054 - [c38]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: 6110-6114 - [c37]Minsik Cho, Mohammad Rastegari, Devang Naik:
KV-Runahead: Scalable Causal LLM Inference by Parallel Key-Value Cache Generation. ICML 2024 - [i28]Minsik Cho, Mohammad Rastegari, Devang Naik:
KV-Runahead: Scalable Causal LLM Inference by Parallel Key-Value Cache Generation. CoRR abs/2405.05329 (2024) - [i27]Qichen Fu, Minsik Cho, Thomas Merth, Sachin Mehta, Mohammad Rastegari, Mahyar Najibi:
LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference. CoRR abs/2407.14057 (2024) - [i26]Kumari Nishu, Minsik Cho, Devang Naik:
SLiCK: Exploiting Subsequences for Length-Constrained Keyword Spotting. CoRR abs/2409.09067 (2024) - [i25]Mohammad Samragh, Seyed-Iman Mirzadeh, Keivan Alizadeh-Vahid, Fartash Faghri, Minsik Cho, Moin Nabi, Devang Naik, Mehrdad Farajtabar:
Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization. CoRR abs/2409.12903 (2024) - [i24]Keivan Alizadeh, Iman Mirzadeh, Hooman Shahrokhi, Dmitry Belenko, Frank Sun, Minsik Cho, Mohammad Hossein Sekhavat, Moin Nabi, Mehrdad Farajtabar:
Duo-LLM: A Framework for Studying Adaptive Computation in Large Language Models. CoRR abs/2410.10846 (2024) - [i23]Harry Dong, Tyler Johnson, Minsik Cho, Emad Soroush:
Towards Low-bit Communication for Tensor Parallel LLM Inference. CoRR abs/2411.07942 (2024) - 2023
- [j12]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): 2745-2756 (2023) - [c36]Arnav Kundu, Mohammad Samragh, Minsik Cho, Priyanka Padmanabhan, Devang Naik:
HEiMDaL: Highly Efficient Method for Detection and Localization of Wake-Words. ICASSP 2023: 1-5 - [c35]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: 1-5 - [c34]Kumari Nishu, Minsik Cho, Devang Naik:
Matching Latent Encoding for Audio-Text based Keyword Spotting. INTERSPEECH 2023: 1613-1617 - [c33]Minsik Cho, Saurabh Adya, Devang Naik:
PDP: Parameter-free Differentiable Pruning is All You Need. NeurIPS 2023 - [i22]Arnav Kundu, Chungkuk Yoo, Srijan Mishra, Minsik Cho, Saurabh Adya:
R^2: Range Regularization for Model Compression and Quantization. CoRR abs/2303.08253 (2023) - [i21]Minsik Cho, Saurabh Adya, Devang Naik:
PDP: Parameter-free Differentiable Pruning is All You Need. CoRR abs/2305.11203 (2023) - [i20]Kumari Nishu, Minsik Cho, Devang Naik:
Matching Latent Encoding for Audio-Text based Keyword Spotting. CoRR abs/2306.05245 (2023) - [i19]Kumari Nishu, Minsik Cho, Paul Dixon, Devang Naik:
Flexible Keyword Spotting based on Homogeneous Audio-Text Embedding. CoRR abs/2308.06472 (2023) - [i18]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 abs/2309.00964 (2023) - [i17]Duc N. M. Hoang, Minsik Cho, Thomas Merth, Mohammad Rastegari, Zhangyang Wang:
(Dynamic) Prompting might be all you need to repair Compressed LLMs. CoRR abs/2310.00867 (2023) - [i16]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 abs/2310.05886 (2023) - [i15]Keivan Alizadeh, Seyed-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 abs/2312.11514 (2023) - 2022
- [j11]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): 1820-1831 (2022) - [c32]Minsik Cho, Keivan Alizadeh-Vahid, Saurabh Adya, Mohammad Rastegari:
DKM: Differentiable k-Means Clustering Layer for Neural Network Compression. ICLR 2022 - [c31]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: 1896-1900 - [i14]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 abs/2204.02455 (2022) - [i13]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 abs/2210.13567 (2022) - [i12]Arnav Kundu, Mohammad Samragh Razlighi, Minsik Cho, Priyanka Padmanabhan, Devang Naik:
HEiMDaL: Highly Efficient Method for Detection and Localization of wake-words. CoRR abs/2210.15425 (2022) - 2021
- [c30]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: 9294-9302 - [i11]Minsik Cho, Keivan Alizadeh-Vahid, Saurabh Adya, Mohammad Rastegari:
DKM: Differentiable K-Means Clustering Layer for Neural Network Compression. CoRR abs/2108.12659 (2021) - 2020
- [c29]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: 3254-3263 - [c28]Jinho Lee, Inseok Hwang, Soham Shah, Minsik Cho:
FlexReduce: Flexible All-reduce for Distributed Deep Learning on Asymmetric Network Topology. DAC 2020: 1-6 - [c27]Chungkuk Yoo, Bumsoo Kang, Minsik Cho:
SNOW: Subscribing to Knowledge via Channel Pooling for Transfer & Lifelong Learning of Convolutional Neural Networks. ICLR 2020 - [c26]Minsik Cho:
Scalable Deep Learning Inference: Algorithmic Approach. IPDPS Workshops 2020: 990 - [i10]Inseok Hwang, Jinho Lee, Frank Liu, Minsik Cho:
SimEx: Express Prediction of Inter-dataset Similarity by a Fleet of Autoencoders. CoRR abs/2001.04893 (2020) - [i9]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 abs/2006.13314 (2020) - [i8]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 abs/2011.10608 (2020)
2010 – 2019
- 2019
- [j10]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): 1:1-1:11 (2019) - [c25]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: 376-383 - [c24]Minsik Cho, Ulrich Finkler, David S. Kung, Hillery C. Hunter:
BlueConnect: Decomposing All-Reduce for Deep Learning on Heterogeneous Network Hierarchy. SysML 2019 - [i7]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, Eliu 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 S. 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 abs/1902.00522 (2019) - [i6]Mayoore S. Jaiswal, Bumsoo Kang, Jinho Lee, Minsik Cho:
MUTE: Data-Similarity Driven Multi-hot Target Encoding for Neural Network Design. CoRR abs/1910.07042 (2019) - [i5]Eliu 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 S. 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 abs/1911.11779 (2019) - 2018
- [i4]Yuzhe Ma, Ran Chen, Wei Li, Fanhua Shang, Wenjian Yu, Minsik Cho, Bei Yu:
A Unified Approximation Framework for Deep Neural Networks. CoRR abs/1807.10119 (2018) - [i3]Samuel Matzek, Max Grossman, Minsik Cho, Anar Yusifov, Bryant Nelson, Amit Juneja:
Data-parallel distributed training of very large models beyond GPU capacity. CoRR abs/1811.12174 (2018) - 2017
- [c23]Minsik Cho, Daniel Brand:
MEC: Memory-efficient Convolution for Deep Neural Network. ICML 2017: 815-824 - [i2]Minsik Cho, Daniel Brand:
MEC: Memory-efficient Convolution for Deep Neural Network. CoRR abs/1706.06873 (2017) - [i1]Minsik Cho, Ulrich Finkler, Sameer Kumar, David S. Kung, Vaibhav Saxena, Dheeraj Sreedhar:
PowerAI DDL. CoRR abs/1708.02188 (2017) - 2016
- [r2]Minsik Cho, David Z. Pan:
Global Routing. Encyclopedia of Algorithms 2016: 856-858 - 2015
- [j9]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): 1518-1529 (2015) - [c22]Daehee Lee, Dong-uk Kang, Kyeongjin Park, Minsik Cho, Kyung Taek Lim, S. Cho, Gyuseong Cho:
A second-order sigma-delta pixel sensor for X-ray applications. ICCE 2015: 259-260 - [c21]Dong-uk Kang, Daehee Lee, Minsik Cho, Kyeongjin Park, Kyung Taek Lim, S. Cho, Gyuseong Cho:
High speed photon counting readout ASIC for spectral computed tomography detectors. ICCE 2015: 614-615 - 2013
- [c20]Minsik Cho, Hua Xiang, Haoxing Ren, Matthew M. Ziegler, Ruchir Puri:
LatchPlanner: latch placement algorithm for datapath-oriented high-performance VLSI designs. ICCAD 2013: 342-348 - [c19]Hua Xiang, Minsik Cho, Haoxing Ren, Matthew M. Ziegler, Ruchir Puri:
Network flow based datapath bit slicing. ISPD 2013: 139-146 - 2012
- [c18]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: 240-242 - 2011
- [c17]Xiaoping Tang, Minsik Cho:
Optimal layout decomposition for double patterning technology. ICCAD 2011: 9-13 - 2010
- [j8]David Z. Pan, Minsik Cho, Kun Yuan:
Manufacturability Aware Routing in Nanometer VLSI. Found. Trends Electron. Des. Autom. 4(1): 1-97 (2010) - [c16]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: 637-644 - [c15]Minsik Cho, Haoxing Ren, Hua Xiang, Ruchir Puri:
History-based VLSI legalization using network flow. DAC 2010: 286-291 - [c14]Minsik Cho, David Z. Pan, Ruchir Puri:
Novel binary linear programming for high performance clock mesh synthesis. ICCAD 2010: 438-443 - [c13]Hua Xiang, Haoxing Ren, Louise Trevillyan, Lakshmi N. Reddy, Ruchir Puri, Minsik Cho:
Logical and physical restructuring of fan-in trees. ISPD 2010: 67-74
2000 – 2009
- 2009
- [j7]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): 1006-1016 (2009) - [j6]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): 32:1-32:21 (2009) - 2008
- [j5]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): 872-882 (2008) - [j4]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): 1714-1724 (2008) - [j3]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): 2145-2155 (2008) - [j2]Minsik Cho, David Z. Pan:
Fast Substrate Noise Aware Floorplanning for Mixed Signal SOC Designs. IEEE Trans. Very Large Scale Integr. Syst. 16(12): 1713-1717 (2008) - [c12]David Z. Pan, Minsik Cho:
Synergistic physical synthesis for manufacturability and variability in 45nm designs and beyond. ASP-DAC 2008: 220-225 - [c11]Minsik Cho, Kun Yuan, Yongchan Ban, David Z. Pan:
ELIAD: efficient lithography aware detailed router with compact post-OPC printability prediction. DAC 2008: 504-509 - [c10]Minsik Cho, Yongchan Ban, David Z. Pan:
Double patterning technology friendly detailed routing. ICCAD 2008: 506-511 - [c9]Tung-Chieh Chen, Minsik Cho, David Z. Pan, Yao-Wen Chang:
Metal-density driven placement for cmp variation and routability. ISPD 2008: 31-38 - [c8]Minsik Cho, David Z. Pan:
A high-performance droplet router for digital microfluidic biochips. ISPD 2008: 200-206 - [r1]Minsik Cho, Joydeep Mitra, David Z. Pan:
Manufacturability-Aware Routing. Handbook of Algorithms for Physical Design Automation 2008 - 2007
- [j1]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): 2130-2143 (2007) - [c7]Minsik Cho, Hua Xiang, Ruchir Puri, David Z. Pan:
TROY: Track Router with Yield-driven Wire Planning. DAC 2007: 55-58 - [c6]Minsik Cho, Katrina Lu, Kun Yuan, David Z. Pan:
BoxRouter 2.0: architecture and implementation of a hybrid and robust global router. ICCAD 2007: 503-508 - 2006
- [c5]Minsik Cho, Hongjoong Shin, David Z. Pan:
Fast substrate noise-aware floorplanning with preference directed graph for mixed-signal SOCs. ASP-DAC 2006: 765-770 - [c4]Minsik Cho, David Z. Pan:
BoxRouter: a new global router based on box expansion and progressive ILP. DAC 2006: 373-378 - [c3]Minsik Cho, David Z. Pan, Hua Xiang, Ruchir Puri:
Wire density driven global routing for CMP variation and timing. ICCAD 2006: 487-492 - [c2]Minsik Cho, David Z. Pan:
PEAKASO: Peak-Temperature Aware Scan-Vector Optimization. VTS 2006: 52-57 - 2005
- [c1]Minsik Cho, Suhail Ahmed, David Z. Pan:
TACO: temperature aware clock-tree optimization. ICCAD 2005: 582-587
Coauthor Index
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