Mark Hempstead

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 28

Top Topics

Personalized Recommendation

Top Venues

Publications

Alexander Hankin, Abdulrahman Mahmoud, Mark Hempstead, David Brooks, Gu-Yeon Wei
VelociTI: An Architecture-level Performance Modeling Framework for Trapped Ion Quantum Computers. IISWC (2023)
Cesar Gomes, Mark Hempstead
CInC: Workload Characterization In Context of Resource Contention. IISWC (2023)
Maziar Amiraski, David Werner, Alexander Hankin, Julien Sebot, Kaushik Vaidyanathan, Mark Hempstead
Boreas: A Cost-Effective Mitigation Method for Advanced Hotspots using Machine Learning and Hardware Telemetry. ISPASS (2023)
Liu Ke, Udit Gupta, Mark Hempstead, Carole-Jean Wu, Hsien-Hsin S. Lee, Xuan Zhang
Hercules: Heterogeneity-Aware Inference Serving for At-Scale Personalized Recommendation. CoRR (2022)
Lillian Pentecost, Alexander Hankin, Marco Donato, Mark Hempstead, Gu-Yeon Wei, David Brooks
NVMExplorer: A Framework for Cross-Stack Comparisons of Embedded Non-Volatile Memories. HPCA (2022)
Cesar Gomes, Maziar Amiraski, Mark Hempstead
CASHT: Contention Analysis in Shared Hierarchies with Thefts. ACM Trans. Archit. Code Optim. 19 (1) (2022)
Liu Ke, Udit Gupta, Mark Hempstead, Carole-Jean Wu, Hsien-Hsin S. Lee, Xuan Zhang
Hercules: Heterogeneity-Aware Inference Serving for At-Scale Personalized Recommendation. HPCA (2022)
Cesar Gomes, Xuesi Chen, Mark Hempstead
PInTE: Probabilistic Induction of Theft Evictions. IISWC (2022)
Alexander Hankin, David Werner, Maziar Amiraski, Julien Sebot, Kaushik Vaidyanathan, Mark Hempstead
HotGauge: A Methodology for Characterizing Advanced Hotspots in Modern and Next Generation Processors. IISWC (2021)
Michael Lui, Yavuz Yetim, Özgür Özkan, Zhuoran Zhao, Shin-Yeh Tsai, Carole-Jean Wu, Mark Hempstead
Understanding Capacity-Driven Scale-Out Neural Recommendation Inference. ISPASS (2021)
Lillian Pentecost, Alexander Hankin, Marco Donato, Mark Hempstead, Gu-Yeon Wei, David Brooks
NVMExplorer: A Framework for Cross-Stack Comparisons of Embedded Non-Volatile Memories. CoRR (2021)
Guru Prasad Srinivasa, David Werner, Mark Hempstead, Geoffrey Challen
Thermal-Aware Overclocking for Smartphones. ISPASS (2021)
Parnian Mokri, Mark Hempstead
Early-stage Automated Identification Tool for Shared Accelerators. FCCM (2020)
Karthik Sangaiah, Michael Lui, Ragh Kuttappa, Baris Taskin, Mark Hempstead
SnackNoC: Processing in the Communication Layer. HPCA (2020)
Udit Gupta, Carole-Jean Wu, Xiaodong Wang, Maxim Naumov, Brandon Reagen, David Brooks, Bradford Cottel, Kim M. Hazelwood, Mark Hempstead, Bill Jia, Hsien-Hsin S. Lee, Andrey Malevich, Dheevatsa Mudigere, Mikhail Smelyanskiy, Liang Xiong, Xuan Zhang
The Architectural Implications of Facebook's DNN-Based Personalized Recommendation. HPCA (2020)
Michael Lui, Yavuz Yetim, Özgür Özkan, Zhuoran Zhao, Shin-Yeh Tsai, Carole-Jean Wu, Mark Hempstead
Understanding Capacity-Driven Scale-Out Neural Recommendation Inference. CoRR (2020)
Liu Ke, Udit Gupta, Benjamin Youngjae Cho, David Brooks, Vikas Chandra, Utku Diril, Amin Firoozshahian, Kim M. Hazelwood, Bill Jia, Hsien-Hsin S. Lee, Meng Li, Bert Maher, Dheevatsa Mudigere, Maxim Naumov, Martin Schatz, Mikhail Smelyanskiy, Xiaodong Wang, Brandon Reagen, Carole-Jean Wu, Mark Hempstead, Xuan Zhang
RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing. ISCA (2020)
Cesar Gomes, Mark Hempstead
C^2AFE: Capacity Curve Annotation and Feature Extraction for Shared Cache Analysis. ISPASS (2020)
Parnian Mokri, Mark Hempstead
Early-stage Automated Accelerator Identification Tool for Embedded Systems with Limited Area. ICCAD (2020)
Parnian Mokri, Maziar Amiraskari, Yuelin Liu, Mark Hempstead
Early-stage Automated Identification of Similar Hardware Implementations with Abstract-Syntax-Tree. FPGA (2020)
Guru Prasad Srinivasa, Scott Haseley, Geoffrey Challen, Mark Hempstead
Quantifying Process Variations and Its Impacts on Smartphones. ISPASS (2019)
Alexander Hankin, Tomer Shapira, Karthik Sangaiah, Michael Lui, Mark Hempstead
Evaluation of Non-Volatile Memory Based Last Level Cache Given Modern Use Case Behavior. IISWC (2019)
Liu Ke, Udit Gupta, Carole-Jean Wu, Benjamin Youngjae Cho, Mark Hempstead, Brandon Reagen, Xuan Zhang, David M. Brooks, Vikas Chandra, Utku Diril, Amin Firoozshahian, Kim M. Hazelwood, Bill Jia, Hsien-Hsin S. Lee, Meng Li, Bert Maher, Dheevatsa Mudigere, Maxim Naumov, Martin Schatz, Mikhail Smelyanskiy, Xiaodong Wang
RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing. CoRR (2019)
Michael Lui, Karthik Sangaiah, Mark Hempstead, Baris Taskin
Towards Cross-Framework Workload Analysis via Flexible Event-Driven Interfaces. ISPASS (2018)
David Werner, Kyle Juretus, Ioannis Savidis, Mark Hempstead
Machine Learning on the Thermal Side-Channel: Analysis of Accelerator-Rich Architectures. ICCD (2018)
Karthik Sangaiah, Michael Lui, Radhika Jagtap, Stephan Diestelhorst, Siddharth Nilakantan, Ankit More, Baris Taskin, Mark Hempstead
SynchroTrace: Synchronization-Aware Architecture-Agnostic Traces for Lightweight Multicore Simulation of CMP and HPC Workloads. ACM Trans. Archit. Code Optim. 15 (1) (2018)
Guru Prasad Srinivasa, Rizwana Begum, Scott Haseley, Mark Hempstead, Geoffrey Challen
Separated By Birth: Hidden Differences Between Seemingly-Identical Smartphone CPUs. HotMobile (2017)
Rizwana Begum, Mark Hempstead, Guru Prasad Srinivasa, Geoffrey Challen
Algorithms for CPU and DRAM DVFS under inefficiency constraints. ICCD (2016)
Rizwana Begum, Mark Hempstead
Power-agility metrics: Measuring dynamic characteristics of energy proportionality. ICCD (2015)
Karthik Sangaiah, Mark Hempstead, Baris Taskin
Uncore RPD: Rapid Design Space Exploration of the Uncore via Regression Modeling. ICCAD (2015)
Siddharth Nilakantan, Karthik Sangaiah, Ankit More, Giordano Salvador, Baris Taskin, Mark Hempstead
Synchrotrace: synchronization-aware architecture-agnostic traces for light-weight multicore simulation. ISPASS (2015)
Trevor E. Carlson, Siddharth Nilakantan, Mark Hempstead, Wim Heirman
Epoch Profiles: Microarchitecture-Based Application Analysis and Optimization. IEEE Comput. Archit. Lett. 14 (1) (2015)
Giordano Salvador, Siddharth Nilakantan, Baris Taskin, Mark Hempstead, Ankit More
Effects of Nondeterminism in Hardware and Software Simulation with Thread Mapping. VLSI Design (2015)
Siddharth Nilakantan, Scott Lerner, Mark Hempstead, Baris Taskin
Can You Trust Your Memory Trace? A Comparison of Memory Traces from Binary Instrumentation and Simulation. VLSI Design (2015)
Cesar Gomes, Mark Hempstead
Combative cache efficacy techniques: Cache replacement in the context of independent prefetching in last level cache. ICCD (2015)
Rizwana Begum, David Werner, Mark Hempstead, Guru Prasad, Geoffrey Challen
Energy-Performance Trade-offs on Energy-Constrained Devices with Multi-component DVFS. IISWC (2015)
Giordano Salvador, Siddharth Nilakantan, Baris Taskin, Mark Hempstead, Ankit More
Static thread mapping for NoCs via binary instrumentation traces. ICCD (2014)
Siddharth Nilakantan, Mark Hempstead
Platform-independent analysis of function-level communication in workloads. IISWC (2013)
Siddharth Nilakantan, Steven J. Battle, Mark Hempstead
Metrics for Early-Stage Modeling of Many-Accelerator Architectures. IEEE Comput. Archit. Lett. 12 (1) (2013)
Steven J. Battle, Mark Hempstead
Characterizing the costs and benefits of hardware parallelism in accelerator cores. ICCD (2013)
Steven J. Battle, Mark Hempstead
Register allocation and VDD-gating algorithms for out-of-order architectures. ICCD (2013)
Steven J. Battle, Andrew D. Hilton, Mark Hempstead, Amir Roth
Flexible register management using reference counting. HPCA (2012)
Michael J. Lyons, Mark Hempstead, Gu-Yeon Wei, David M. Brooks
The accelerator store: A shared memory framework for accelerator-based systems. ACM Trans. Archit. Code Optim. 8 (4) (2012)
Geoffrey Challen, Mark Hempstead
The Case for Power-Agile Computing. HotOS (2011)
Siddharth Nilakantan, Srikanth Annangi, Nikhil Gulati, Karthik Sangaiah, Mark Hempstead
Evaluation of an accelerator architecture for speckle reducing anisotropic diffusion. CASES (2011)
Mark Hempstead, David M. Brooks, Gu-Yeon Wei
An Accelerator-Based Wireless Sensor Network Processor in 130 nm CMOS. IEEE J. Emerg. Sel. Topics Circuits Syst. 1 (2) (2011)
Michael J. Lyons, Mark Hempstead, Gu-Yeon Wei, David M. Brooks
The Accelerator Store framework for high-performance, low-power accelerator-based systems. IEEE Comput. Archit. Lett. 9 (2) (2010)
Mark Hempstead, Gu-Yeon Wei, David M. Brooks
An accelerator-based wireless sensor network processor in 130nm CMOS. CASES (2009)
Mark Hempstead, Michael J. Lyons, David M. Brooks, Gu-Yeon Wei
Survey of Hardware Systems for Wireless Sensor Networks. J. Low Power Electron. 4 (1) (2008)
Mark Hempstead, Gu-Yeon Wei, David M. Brooks
System design considerations for sensor network applications. ISCAS (2008)
Mark Hempstead, Gu-Yeon Wei, David M. Brooks
Architecture and circuit techniques for low-throughput, energy-constrained systems across technology generations. CASES (2006)
Qin Wang, Mark Hempstead, Woodward Yang
A Realistic Power Consumption Model for Wireless Sensor Network Devices. SECON (2006)
Yingmin Li, Mark Hempstead, Patrick Mauro, David M. Brooks, Zhigang Hu, Kevin Skadron
Power and thermal effects of SRAM vs. Latch-Mux design styles and clock gating choices. ISLPED (2005)
Mark Hempstead, Nikhil Tripathi, Patrick Mauro, Gu-Yeon Wei, David M. Brooks
An Ultra Low Power System Architecture for Sensor Network Applications. ISCA (2005)
Mark Hempstead, Matt Welsh, David M. Brooks
TinyBench: The Case For A Standardized Benchmark Suite for TinyOS Based Wireless Sensor Network Devices. LCN (2004)
Victor Shnayder, Mark Hempstead, Bor-rong Chen, Geoffrey Werner-Allen, Matt Welsh
Simulating the power consumption of large-scale sensor network applications. SenSys (2004)