Jason Lowe-Power

According to our database, Jason Lowe-Power authored at least 38 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Potential and Limitation of High-Frequency Cores and Caches.

Kunal Pai, Anusheel Nand, Jason Lowe-Power

CoRR, 2024

TDRAM: Tag-enhanced DRAM for Efficient Caching.

Maryam Babaie, Ayaz Akram, Wendy Elsasser, Brent Haukness, Michael R. Miller, Taeksang Song, Thomas Vogelsang, Steven C. Woo, Jason Lowe-Power

CoRR, 2024

TEGRA - Scaling Up Terascale Graph Processing with Disaggregated Computing.

William Shaddix, Mahyar Samani, Marjan Fariborz, S. J. Ben Yoo, Jason Lowe-Power, Venkatesh Akella

CoRR, 2024

CachedArrays: Optimizing Data Movement for Heterogeneous Memory Systems.

Mark Hildebrand, Jason Lowe-Power, Venkatesh Akella

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

2023

Prediction of organic compound aqueous solubility using machine learning: a comparison study of descriptor-based and fingerprints-based models.

Arash Tayyebi, Ali S. Alshami, Zeinab Rabiei, Xue Yu, Nadhem Ismail, Musabbir Jahan Talukder, Jason Power

J. Cheminformatics, December, 2023

Aragorn: A Privacy-Enhancing System for Mobile Cameras.

Hari Venugopalan, Zain ul Abi Din, Trevor Carpenter, Jason Lowe-Power, Samuel T. King, Zubair Shafiq

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., December, 2023

Centauri: Practical Rowhammer Fingerprinting.

Hari Venugopalan, Kaustav Goswami, Zain ul Abi Din, Jason Lowe-Power, Samuel T. King, Zubair Shafiq

CoRR, 2023

A Cycle-level Unified DRAM Cache Controller Model for 3DXPoint Memory Systems in gem5.

Maryam Babaie, Ayaz Akram, Jason Lowe-Power

CoRR, 2023

Efficient Large Scale DLRM Implementation on Heterogeneous Memory Systems.

Mark Hildebrand, Jason Lowe-Power, Venkatesh Akella

Proceedings of the High Performance Computing - 38th International Conference, 2023

Scalable Hardware Acceleration of Graph Processing with Photonic Interconnects.

Venkatesh Akella, Marjan Fariborz, Mahyar Samani, S. J. Ben Yoo, Jason Lowe-Power

Proceedings of the International Conference on Photonics in Switching and Computing, 2023

Enabling Design Space Exploration of DRAM Caches for Emerging Memory Systems.

Maryam Babaie, Ayaz Akram, Jason Lowe-Power

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2023

2022

A Model for Scalable and Balanced Accelerators for Graph Processing.

Marjan Fariborz, Mahyar Samani, Terry O'Neill, Jason Lowe-Power, S. J. Ben Yoo, Venkatesh Akella

IEEE Comput. Archit. Lett., 2022

LLM: Realizing Low-Latency Memory by Exploiting Embedded Silicon Photonics for Irregular Workloads.

Marjan Fariborz, Mahyar Samani, Pouya Fotouhi, Roberto Proietti, Il-Min Yi, Venkatesh Akella, Jason Lowe-Power, Samuel Palermo, S. J. Ben Yoo

Proceedings of the High Performance Computing - 37th International Conference, 2022

SoK: Limitations of Confidential Computing via TEEs for High-Performance Compute Systems.

Ayaz Akram, Venkatesh Akella, Sean Peisert, Jason Lowe-Power

Proceedings of the 2022 IEEE International Symposium on Secure and Private Execution Environment Design (SEED), 2022

2021

HTA: A Scalable High-Throughput Accelerator for Irregular HPC Workloads.

Pouya Fotouhi, Marjan Fariborz, Roberto Proietti, Jason Lowe-Power, Venkatesh Akella, S. J. Ben Yoo

Proceedings of the High Performance Computing - 36th International Conference, 2021

A Case Against Hardware Managed DRAM Caches for NVRAM Based Systems.

Mark Hildebrand, Julian T. Angeles, Jason Lowe-Power, Venkatesh Akella

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2021

Enabling Reproducible and Agile Full-System Simulation.

Bobby R. Bruce, Ayaz Akram, Hoa Nguyen, Kyle Roarty, Mahyar Samani, Marjan Fariborz, Trivikram Reddy, Matthew D. Sinclair, Jason Lowe-Power

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2021

Performance Analysis of Scientific Computing Workloads on General Purpose TEEs.

Ayaz Akram, Anna Giannakou, Venkatesh Akella, Jason Lowe-Power, Sean Peisert

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

Stream Floating: Enabling Proactive and Decentralized Cache Optimizations.

Zhengrong Wang, Jian Weng, Jason Lowe-Power, Jayesh Gaur, Tony Nowatzki

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2021

2020

The Tribes of Machine Learning and the Realm of Computer Architecture.

Ayaz Akram, Jason Lowe-Power

CoRR, 2020

Performance Analysis of Scientific Computing Workloads on Trusted Execution Environments.

Ayaz Akram, Anna Giannakou, Venkatesh Akella, Jason Lowe-Power, Sean Peisert

CoRR, 2020

The gem5 Simulator: Version 20.0+.

Jason Lowe-Power, Abdul Mutaal Ahmad, Ayaz Akram, Mohammad Alian, Rico Amslinger, Matteo Andreozzi, Adrià Armejach, Nils Asmussen, Srikant Bharadwaj, Gabe Black, Gedare Bloom, Bobby R. Bruce, Daniel Rodrigues Carvalho, Jerónimo Castrillón, Lizhong Chen, Nicolas Derumigny, Stephan Diestelhorst, Wendy Elsasser, Marjan Fariborz, Amin Farmahini Farahani, Pouya Fotouhi, Ryan Gambord, Jayneel Gandhi, Dibakar Gope, Thomas Grass, Bagus Hanindhito, Andreas Hansson, Swapnil Haria, Austin Harris, Timothy Hayes, Adrian Herrera, Matthew Horsnell, Syed Ali Raza Jafri, Radhika Jagtap, Hanhwi Jang, Reiley Jeyapaul, Timothy M. Jones, Matthias Jung, Subash Kannoth, Hamidreza Khaleghzadeh, Yuetsu Kodama, Tushar Krishna, Tommaso Marinelli, Christian Menard, Andrea Mondelli, Tiago Mück, Omar Naji, Krishnendra Nathella, Hoa Nguyen, Nikos Nikoleris, Lena E. Olson, Marc S. Orr, Binh Pham, Pablo Prieto, Trivikram Reddy, Alec Roelke, Mahyar Samani, Andreas Sandberg, Javier Setoain, Boris Shingarov, Matthew D. Sinclair, Tuan Ta, Rahul Thakur, Giacomo Travaglini, Michael Upton, Nilay Vaish, Ilias Vougioukas, Zhengrong Wang, Norbert Wehn, Christian Weis, David A. Wood, Hongil Yoon, Éder F. Zulian

CoRR, 2020

Difficulty and self-efficacy: An exploratory study.

Jason Power, Raymond Lynch, Oliver McGarr

Br. J. Educ. Technol., 2020

HCAPP: Scalable Power Control for Heterogeneous 2.5D Integrated Systems.

Kramer Straube, Jason Lowe-Power, Christopher Nitta, Matthew K. Farrens, Venkatesh Akella

Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020

AutoTM: Automatic Tensor Movement in Heterogeneous Memory Systems using Integer Linear Programming.

Mark Hildebrand, Jawad Khan, Sanjeev Trika, Jason Lowe-Power, Venkatesh Akella

Proceedings of the ASPLOS '20: Architectural Support for Programming Languages and Operating Systems, 2020

2019

The Davis In-Order (DINO) CPU: A Teaching-focused RISC-V CPU Design.

Jason Lowe-Power, Christopher Nitta

Proceedings of the Workshop on Computer Architecture Education, 2019

Enabling scalable chiplet-based uniform memory architectures with silicon photonics.

Pouya Fotouhi, Sebastian Werner, Jason Lowe-Power, S. J. Ben Yoo

Proceedings of the International Symposium on Memory Systems, 2019

FlexCPU: A Configurable Out-of-Order CPU Abstraction.

Bradley Wang, Ayaz Akram, Jason Lowe-Power

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2019

2018

A case for exposing extra-architectural state in the ISA: position paper.

Jason Lowe-Power, Venkatesh Akella, Matthew K. Farrens, Samuel T. King, Christopher J. Nitta

Proceedings of the 7th International Workshop on Hardware and Architectural Support for Security and Privacy, 2018

Improving Provisioned Power Efficiency in HPC Systems with GPU-CAPP.

Kramer Straube, Jason Lowe-Power, Christopher Nitta, Matthew K. Farrens, Venkatesh Akella

Proceedings of the 25th IEEE International Conference on High Performance Computing, 2018

Filtering Translation Bandwidth with Virtual Caching.

Hongil Yoon, Jason Lowe-Power, Gurindar S. Sohi

Proceedings of the Twenty-Third International Conference on Architectural Support for Programming Languages and Operating Systems, 2018

2016

When to use 3D Die-Stacked Memory for Bandwidth-Constrained Big Data Workloads.

Jason Lowe-Power, Mark D. Hill, David A. Wood

CoRR, 2016

2015

Implications of Emerging 3D GPU Architecture on the Scan Primitive.

Jason Power, Yinan Li, Mark D. Hill, Jignesh M. Patel, David A. Wood

SIGMOD Rec., 2015

gem5-gpu: A Heterogeneous CPU-GPU Simulator.

Jason Power, Joel Hestness, Marc S. Orr, Mark D. Hill, David A. Wood

IEEE Comput. Archit. Lett., 2015

Border control: sandboxing accelerators.

Lena E. Olson, Jason Power, Mark D. Hill, David A. Wood

Proceedings of the 48th International Symposium on Microarchitecture, 2015

Toward GPUs being mainstream in analytic processing: An initial argument using simple scan-aggregate queries.

Jason Power, Yinan Li, Mark D. Hill, Jignesh M. Patel, David A. Wood

Proceedings of the 11th International Workshop on Data Management on New Hardware, 2015

2014

Supporting x86-64 address translation for 100s of GPU lanes.

Jason Power, Mark D. Hill, David A. Wood

Proceedings of the 20th IEEE International Symposium on High Performance Computer Architecture, 2014

2013

Heterogeneous system coherence for integrated CPU-GPU systems.

Jason Power, Arkaprava Basu, Junli Gu, Sooraj Puthoor, Bradford M. Beckmann, Mark D. Hill, Steven K. Reinhardt, David A. Wood

Proceedings of the 46th Annual IEEE/ACM International Symposium on Microarchitecture, 2013