Improvements to seamless vertical handover between mobile WiMAX and 3GPP UTRAN through the evolved packet core. - William J. Song; Jong-Moon Chung; Daeyoung Lee; Chaegwon Lim; Sungho Choi; Taesun Yeoum (IEEE Commun. Mag., 2009)

A framework for architecture-level power, area, and thermal simulation and its application to network-on-chip design exploration. - Ming-yu Hsieh; Arun Rodrigues; Rolf Riesen; Kevin Thompson 004; William J. Song (SIGMETRICS Perform. Evaluation Rev., 2011)

A power capping controller for multicore processors. - Nawaf I. Almoosa; William J. Song; Yorai Wardi; Sudhakar Yalamanchili (ACC, 2012)

Throughput regulation in multicore processors via IPA. - Nawaf I. Almoosa; William J. Song; Sudhakar Yalamanchili; Yorai Wardi (CDC, 2012)

Instruction-based energy estimation methodology for asymmetric manycore processor simulations. - William J. Song; Sudhakar Yalamanchili; Arun F. Rodrigues; Saibal Mukhopadhyay (SimuTools, 2012)

SST: A Scalable Parallel Framework for Architecture-Level Performance, Power, Area and Thermal Simulation. - Ming-yu Hsieh; Rolf Riesen; Kevin Thompson 004; William J. Song; Arun Rodrigues (Comput. J., 2012)

Enhancements to FPMIPv6 for improved seamless vertical handover between LTE and heterogeneous access networks. - Jong-Moon Chung; Daeyoung Lee; William J. Song; Sungho Choi; Chaegwon Lim; Taesun Yeoum (IEEE Wirel. Commun., 2013)

Energy Introspector: A parallel, composable framework for integrated power-reliability-thermal modeling for multicore architectures. - William J. Song; Saibal Mukhopadhyay; Sudhakar Yalamanchili (ISPASS, 2014)

Manifold: A parallel simulation framework for multicore systems. - Jun Wang 077; Jesse G. Beu; Rishiraj A. Bheda; Tom Conte 001; Zhenjiang Dong; Chad D. Kersey; Mitchelle Rasquinha; George F. Riley; William J. Song; He Xiao; Peng Xu; Sudhakar Yalamanchili (ISPASS, 2014)

Power Modeling for GPU Architectures Using McPAT. - Jieun Lim 001; Nagesh B. Lakshminarayana; Hyesoon Kim; William J. Song; Sudhakar Yalamanchili; Wonyong Sung (ACM Trans. Design Autom. Electr. Syst., 2014)

Control Principles and On-Chip Circuits for Active Cooling Using Integrated Superlattice-Based Thin-Film Thermoelectric Devices. - Borislav Alexandrov; Owen Sullivan; William J. Song; Sudhakar Yalamanchili; Satish Kumar; Saibal Mukhopadhyay (IEEE Trans. Very Large Scale Integr. Syst., 2014)

Temperature regulation in multicore processors using adjustable-gain integral controllers. - Karthik Rao; William J. Song; Sudhakar Yalamanchili; Yorai Wardi (CCA, 2015)

Managing performance-reliability tradeoffs in multicore processors. - William J. Song; Saibal Mukhopadhyay; Sudhakar Yalamanchili (IRPS, 2015)

Architectural Reliability: Lifetime Reliability Characterization and Management ofMany-Core Processors. - William J. Song; Saibal Mukhopadhyay; Sudhakar Yalamanchili (IEEE Comput. Archit. Lett., 2015)

Amdahl's law for lifetime reliability scaling in heterogeneous multicore processors. - William J. Song; Saibal Mukhopadhyay; Sudhakar Yalamanchili (HPCA, 2016)

Measurement-Driven Methodology for Evaluating Processor Heterogeneity Options for Power-Performance Efficiency. - William J. Song; Alper Buyuktosunoglu; Chen-Yong Cher; Pradip Bose (ISLPED, 2016)

Managing lifetime reliability, performance, and power tradeoffs in multicore microarchitectures. - William J. Song (2016)

FineReg: Fine-Grained Register File Management for Augmenting GPU Throughput. - Yunho Oh; Myung Kuk Yoon; William J. Song; Won Woo Ro (MICRO, 2018)

TRINITY: Coordinated Performance, Energy and Temperature Management in 3D Processor-Memory Stacks. - Karthik Rao; William J. Song; Yorai Wardi; Sudhakar Yalamanchili (CoRR, 2018)

Duplo: Lifting Redundant Memory Accesses of Deep Neural Networks for GPU Tensor Cores. - Hyeonjin Kim; Sungwoo Ahn; Yunho Oh; Bogil Kim; Won Woo Ro; William J. Song (MICRO, 2020)

Energy-Efficient Acceleration of Deep Neural Networks on Realtime-Constrained Embedded Edge Devices. - Bogil Kim; Sungjae Lee; Amit Ranjan Trivedi; William J. Song (IEEE Access, 2020)

Chapter Two - Hardware accelerator systems for embedded systems. - William J. Song (Adv. Comput., 2021)

The Nebula Benchmark Suite: Implications of Lightweight Neural Networks. - Bogil Kim; Sungjae Lee; Chanho Park; Hyeonjin Kim; William J. Song (IEEE Trans. Computers, 2021)

NOMAD: Enabling Non-blocking OS-managed DRAM Cache via Tag-Data Decoupling. - Youngin Kim 003; Hyeonjin Kim; William J. Song (HPCA, 2023)

SnakeByte: A TLB Design with Adaptive and Recursive Page Merging in GPUs. - Jiwon Lee; Ju Min Lee; Yunho Oh; William J. Song; Won Woo Ro (HPCA, 2023)

LAS: Locality-Aware Scheduling for GEMM-Accelerated Convolutions in GPUs. - Hyeonjin Kim; William J. Song (IEEE Trans. Parallel Distributed Syst., 2023)

NeuroSpector: Systematic Optimization of Dataflow Scheduling in DNN Accelerators. - Chanho Park; Bogil Kim; Sungmin Ryu; William J. Song (IEEE Trans. Parallel Distributed Syst., 2023)

Nona: Accurate Power Prediction Model Using Neural Networks. - HoSun Choi; Chanho Park; Euijun Kim; William J. Song (DAC, 2024)

Genie Cache: Non-Blocking Miss Handling and Replacement in Page-Table-Based DRAM Cache. - Youngin Kim 003; William J. Song (MICRO, 2024)

RoTA: Rotational Torus Accelerator for Wear Leveling of Neural Processing Elements. - Taesoo Lim; Hyeonjin Kim; Jingu Park; Bogil Kim; William J. Song (DATE, 2025)

Graphite: Hardware-Aware GNN Reshaping for Acceleration With GPU Tensor Cores. - Hyeonjin Kim; Taesoo Lim; William J. Song (IEEE Trans. Parallel Distributed Syst., 2025)