Electromagnetic interaction of on-chip antennas and CMOS metal layers for wireless IC interconnects. - Ankit More; Baris Taskin (ACM Great Lakes Symposium on VLSI, 2010)

Leakage current analysis for intra-chip wireless interconnects. - Ankit More; Baris Taskin (ISQED, 2010)

Simulation Based Feasibility Study of Wireless RF Interconnects for 3D ICs. - Ankit More; Baris Taskin (ISVLSI, 2010)

Simulation based study of wireless RF interconnects for practical CMOs implementation. - Ankit More; Baris Taskin (SLIP, 2010)

Simulation based study of on-chip antennas for a reconfigurable hybrid 3D wireless NoC. - Ankit More; Baris Taskin (SoCC, 2010)

EM and circuit co-simulation of a reconfigurable hybrid wireless NoC on 2D ICs. - Ankit More; Baris Taskin (ICCD, 2011)

Simulation based study of on-chip antennas for a reconfigurable hybrid 2D wireless network-on-chip. - Ankit More; Baris Taskin (SLIP, 2011)

A unified design methodology for a hybrid wireless 2-D NoC. - Ankit More; Baris Taskin (ISCAS, 2012)

A locality-aware bi-level mesh-mesh 2d-noc architecture for future thousand core CMPs. - Ankit More; Baris Taskin (SLIP, 2012)

3-D Parasitic Modeling for Rotary Interconnects. - Vinayak Honkote; Ankit More; Baris Taskin (VLSI Design, 2012)

Static thread mapping for NoCs via binary instrumentation traces. - Giordano Salvador; Siddharth Nilakantan; Baris Taskin; Mark Hempstead; Ankit More (ICCD, 2014)

Synchrotrace: synchronization-aware architecture-agnostic traces for light-weight multicore simulation. - Siddharth Nilakantan; Karthik Sangaiah; Ankit More; Giordano Salvador; Baris Taskin; Mark Hempstead (ISPASS, 2015)

Effects of Nondeterminism in Hardware and Software Simulation with Thread Mapping. - Giordano Salvador; Siddharth Nilakantan; Baris Taskin; Mark Hempstead; Ankit More (VLSID, 2015)

Locality-Aware Network Utilization Balancing in NoCs. - Ankit More; Baris Taskin (ACM Trans. Design Autom. Electr. Syst., 2015)

Energy aware routing of multi-level Network-on-Chip traffic. - Vasil Pano; Isikcan Yilmaz; Ankit More; Baris Taskin (ICCD, 2016)

P4: Phase-based power/performance prediction of heterogeneous systems via neural networks. - Yeseong Kim; Pietro Mercati; Ankit More; Emily Shriver; Tajana Rosing (ICCAD, 2017)

Wireless NoCs Using Directional and Substrate Propagation Antennas. - Vasil Pano; Yuqiao Liu 001; Isikcan Yilmaz; Ankit More; Baris Taskin; Kapil R. Dandekar (ISVLSI, 2017)

Traleika Glacier: A hardware-software co-designed approach to exascale computing. - Vincent Cavé; Romain Cledat; Paul Griffin; Ankit More; Bala Seshasayee; Shekhar Borkar; Sanjay Chatterjee; Dave Dunning; Joshua B. Fryman (Parallel Comput., 2017)

SynchroTrace: Synchronization-Aware Architecture-Agnostic Traces for Lightweight Multicore Simulation of CMP and HPC Workloads. - Karthik Sangaiah; Michael Lui; Radhika Jagtap; Stephan Diestelhorst; Siddharth Nilakantan; Ankit More; Baris Taskin; Mark Hempstead (ACM Trans. Archit. Code Optim., 2018)

Vertical Arbitration-Free 3-D NoCs. - Ankit More; Vasil Pano; Baris Taskin (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018)

Application Performance Prediction and Optimization Under Cache Allocation Technology. - Yeseong Kim; Ankit More; Emily Shriver; Tajana Rosing (DATE, 2019)

PIUMA: Programmable Integrated Unified Memory Architecture. - Sriram Aananthakrishnan; Nesreen K. Ahmed; Vincent Cavé; Marcelo Cintra; Yigit Demir; Kristof Du Bois; Stijn Eyerman; Joshua B. Fryman; Ivan Ganev; Wim Heirman; Hans-Christian Hoppe; Jason Howard; et al. (CoRR, 2020)

With Shared Microexponents, A Little Shifting Goes a Long Way. - Bita Darvish Rouhani; Ritchie Zhao; Venmugil Elango; Rasoul Shafipour; Mathew Hall; Maral Mesmakhosroshahi; Ankit More; Levi Melnick; Maximilian Golub; Girish Varatkar; Lai Shao; Gaurav Kolhe; et al. (ISCA, 2023)

Shared Microexponents: A Little Shifting Goes a Long Way. - Bita Rouhani; Ritchie Zhao; Venmugil Elango; Rasoul Shafipour; Mathew Hall; Maral Mesmakhosroshahi; Ankit More; Levi Melnick; Maximilian Golub; Girish Varatkar; Lei Shao; Gaurav Kolhe; et al. (CoRR, 2023)

Microscaling Data Formats for Deep Learning. - Bita Darvish Rouhani; Ritchie Zhao; Ankit More; Mathew Hall; Alireza Khodamoradi; Summer Deng; Dhruv Choudhary; Marius Cornea; Eric Dellinger; Kristof Denolf; Dusan Stosic; Venmugil Elango; et al. (CoRR, 2023)

Nonuniform-Tensor-Parallelism: Mitigating GPU failure impact for Scaled-up LLM Training. - Daiyaan Arfeen; Dheevatsa Mudigere; Ankit More; Bhargava Gopireddy; Ahmet Inci; Gregory R. Ganger (CoRR, 2025)

Helix Parallelism: Rethinking Sharding Strategies for Interactive Multi-Million-Token LLM Decoding. - Nidhi Bhatia; Ankit More; Ritika Borkar; Tiyasa Mitra; Ramon Matas; Ritchie Zhao; Maximilian Golub; Dheevatsa Mudigere; Brian Pharris; Bita Darvish Rouhani (CoRR, 2025)