Publications

• "Cross-Model KV Cache Transfer in LLM Families: A Closed-Form Linear Mapping for Prefill Reuse", arXiv, August 2026

• "Training distribution determines the ceiling of drug-blind cancer sensitivity prediction", arXiv, May 2026

• "MLcommons Chakra: Advancing Performance Benchmarking And Co-Design Using Standardized Execution Traces", Conference on Machine Learning and Systems (MLSys), May 2026

• "Supporting Trusted Virtual Machines with Hardware-based Secure Remote Memory", International Symposium on Memory Management (ISMM), June 2024

• "ASTRA-sim2.0: Modeling Hierarchical Networks and Disaggregated Systems for Large-model Training at Scale", International Symposium on Performance Analysis of Systems and Software (ISPASS), April 2023 [slides, video]

• "COMET: A Comprehensive Cluster Design Methodology for Distributed Deep Learning Training", arXiv, November 2022

• "InnerSP: A Memory Efficient Sparse Matrix Multiplication Accelerator with Locality-aware Inner Product Processing", International Conference on Parallel Architectures and Compilation Techniques (PACT), September 2021 [slides]

• "Adaptive Page Migration Policy with Huge Pages in Tiered Memory Systems", IEEE Transactions on Computers [code]

• "Accelerating Critical OS Services in Virtualized Systems with Flexible Micro-sliced Cores", European Conference on Computer Systems (EuroSys), April 2018  [slides, video, code]

• “Hybrid TLB Coalescing: Improving TLB Translation Coverage under Diverse Fragmented Memory Allocations”, International Symposium on Computer Architecture (ISCA), June 2017  [slides]

• “Efficient Synonym Filtering and Scalable Delayed Translation for Hybrid Virtual Caching”, International Symposium on Computer Architecture (ISCA), June 2016 [slides]

Workshops

• "Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces", Workshop on Modeling & Simulation of Systems and Applications (ModSim), August 2023  [slides, poster]

• "Exploring Memory Expansion Designs for Training Mixture-of-Experts Models", Workshop on Hot Topics in System Infrastructure (HotInfra), June 2023  [slides]

• "Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces", Workshop on Benchmarking Machine Learning Workloads on Emerging Hardware (MLBench), June 2023 [slides]

• "FastSwtich: Enabling Real-time DNN Switching via Weight-Sharing", Workshop on Architecture, Compiler, and System Support for Multi-Model DNN Workloads (ACSMD), June 2022

Presentations & Talks

• “Chakra and ASTRA-sim: An Open-source Ecosystem for Advancing Co-design for Future AI Systems”, AI & Systems Co-design Faculty Summit on behalf of Tushar Krishna, October 2023

• "Chakra and ASTRA-sim: An Open-source Ecosystem for Advancing Co-design for Future AI Systems", ACE Monthly Meeting, September 2023

• "Designing Multi-Tensor Core Systems in SST", SST User Group Meeting, September 2023

• "Execution Trace (ET) Execution Through Simulator", Chakra Working Group Meeting, August 2023

• "ASTRA-sim2.0: Modeling Hierarchical Networks and Disaggregated Systems for Large-model Training at Scale", SRC Combined CADT/AIHW Annual Review, May 2023

• "ASTRA-sim Tutorial", International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), March 2023

• "ASTRA-sim Tutorial", Conference on Machine Learning and Systems (MLSys), August 2022

• "ASTRA-sim Tutorial", International Symposium on Computer Architecture (ISCA), June 2022

• "ASTRA-sim Tutorial", International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), February 2022

• "Hybrid TLB Coalescing: Improving TLB Translation Coverage under Diverse Fragmented Memory Allocations", Korea Software Congress, December 2017

Patents

• "Apparatus and Method for Accelerating Critical Service in Virtualized System", KR 1021157380000, Granted: May 21st, 2020

• "Method and System to Improve TLB Coverage by Using Chunks of Contiguous Memory", KR 1019426630000, Granted: Jan. 21st, 2019

Professional Services

• Ethics Reviewer (NeurIPS 2026)

• Program Committee (Light PC, MICRO 2026)

• Program Committee (Light PC, HPCA 2024)

• Artifact Evaluation Committee (MLSys 2022)

Awards & Scholarships

• Dr. Sudhakar Yalamanchili Award, ModSim, Aug. 2023

• Stars of Tomorrow (Award of Excellence), Microsoft Research Asia, Aug. 2018

• Excellent Teaching Assistant Award, KAIST, Mar. 2018

• KFAS Scholarship, Korea Foundation for Advanced Studies, 2017-2019

• National Scholarship, KAIST, 2014 - 2021

• Dean's List, College of Information & Communication Engineering, Apr. 2012, Oct. 2012, Apr. 2013, Oct. 2013

• National Scholarship for Science and Engineering, Korea Student Aid Foundation (KOSAF), 2010-2013

Skills

• Programming Languages: C, C++, Python, CUDA

• System Software: Linux Kernel Development, Linux System Administration

• Architecture Simulators: Structural Simulation Toolkit (SST), Gem5, NVMain, Pin, MARSSx86

• FPGA: Vivado, Vitis HLS, Verilog, Tcl

• Machine Learning Frameworks: PyTorch, TensorFlow

Extracurricular Activities

• Student Representative, Department of Computer Science, KAIST, Feb 2016 - Dec 2016

• Student, Korea Information Technology Research Institute, Jul. 2013 - Feb. 2014

• President, Computer Security Research Club, Sungkuynkwan University, Jul 2011 - Feb 2012

• Vice President, Computer Security Research Club, Sungkyunkwan University, Mar 2011 - Jun 2011

Teaching Experiences

• Teaching Assistant for Computer Organization, KAIST, Fall 2017

• Teaching Assistant for System Programming, KAIST, Spring 2017

• Teaching Assistant for Introduction to Computer Application, KAIST, Fall 2015

• Teaching Assistant for Digital System and Lab, KAIST, Spring 2015

• Teaching Assistant for System Programming, KAIST, Fall 2014

• Teaching Assistant for Introduction to Programming (Python), KAIST, Spring 2014