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 001 (MICRO, 2013)

Supporting x86-64 address translation for 100s of GPU lanes. - Jason Power; Mark D. Hill; David A. Wood 001 (HPCA, 2014)

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 001 (DaMoN, 2015)

Border control: sandboxing accelerators. - Lena E. Olson; Jason Power; Mark D. Hill; David A. Wood 001 (MICRO, 2015)

gem5-gpu: A Heterogeneous CPU-GPU Simulator. - Jason Power; Joel Hestness; Marc S. Orr; Mark D. Hill; David A. Wood 001 (IEEE Comput. Archit. Lett., 2015)

Implications of Emerging 3D GPU Architecture on the Scan Primitive. - Jason Power; Yinan Li; Mark D. Hill; Jignesh M. Patel; David A. Wood 001 (SIGMOD Rec., 2015)

When to use 3D Die-Stacked Memory for Bandwidth-Constrained Big Data Workloads. - Jason Lowe-Power; Mark D. Hill; David A. Wood 001 (CoRR, 2016)

Filtering Translation Bandwidth with Virtual Caching. - Hongil Yoon; Jason Lowe-Power; Gurindar S. Sohi (ASPLOS, 2018)

Improving Provisioned Power Efficiency in HPC Systems with GPU-CAPP. - Kramer Straube; Jason Lowe-Power; Christopher Nitta; Matthew K. Farrens; Venkatesh Akella (HiPC, 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 (HASP@ISCA, 2018)

FlexCPU: A Configurable Out-of-Order CPU Abstraction. - Bradley Wang; Ayaz Akram; Jason Lowe-Power (ISPASS, 2019)

Enabling scalable chiplet-based uniform memory architectures with silicon photonics. - Pouya Fotouhi; Sebastian Werner 002; Jason Lowe-Power; S. J. Ben Yoo (MEMSYS, 2019)

The Davis In-Order (DINO) CPU: A Teaching-focused RISC-V CPU Design. - Jason Lowe-Power; Christopher Nitta (WCAE@ISCA, 2019)

AutoTM: Automatic Tensor Movement in Heterogeneous Memory Systems using Integer Linear Programming. - Mark Hildebrand; Jawad Khan; Sanjeev Trika; Jason Lowe-Power; Venkatesh Akella (ASPLOS, 2020)

HCAPP: Scalable Power Control for Heterogeneous 2.5D Integrated Systems. - Kramer Straube; Jason Lowe-Power; Christopher Nitta; Matthew K. Farrens; Venkatesh Akella (ICPP, 2020)

Difficulty and self-efficacy: An exploratory study. - Jason Power; Raymond Lynch; Oliver McGarr (Br. J. Educ. Technol., 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; et al. (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 Tribes of Machine Learning and the Realm of Computer Architecture. - Ayaz Akram; Jason Lowe-Power (CoRR, 2020)

Stream Floating: Enabling Proactive and Decentralized Cache Optimizations. - Zhengrong Wang; Jian Weng 002; Jason Lowe-Power; Jayesh Gaur; Tony Nowatzki (HPCA, 2021)

Performance Analysis of Scientific Computing Workloads on General Purpose TEEs. - Ayaz Akram; Anna Giannakou; Venkatesh Akella; Jason Lowe-Power; Sean Peisert (IPDPS, 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 (ISPASS, 2021)

A Case Against Hardware Managed DRAM Caches for NVRAM Based Systems. - Mark Hildebrand; Julian T. Angeles; Jason Lowe-Power; Venkatesh Akella (ISPASS, 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 (ISC, 2021)

SoK: Limitations of Confidential Computing via TEEs for High-Performance Compute Systems. - Ayaz Akram; Venkatesh Akella; Sean Peisert; Jason Lowe-Power (SEED, 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 (ISC, 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)

Enabling Design Space Exploration of DRAM Caches for Emerging Memory Systems. - Maryam Babaie; Ayaz Akram; Jason Lowe-Power (ISPASS, 2023)

Scalable Hardware Acceleration of Graph Processing with Photonic Interconnects. - Venkatesh Akella; Marjan Fariborz; Mahyar Samani; S. J. Ben Yoo; Jason Lowe-Power (PSC, 2023)

Efficient Large Scale DLRM Implementation on Heterogeneous Memory Systems. - Mark Hildebrand; Jason Lowe-Power; Venkatesh Akella (ISC, 2023)

A Cycle-level Unified DRAM Cache Controller Model for 3DXPoint Memory Systems in gem5. - Maryam Babaie; Ayaz Akram; Jason Lowe-Power (CoRR, 2023)

Centauri: Practical Rowhammer Fingerprinting. - Hari Venugopalan; Kaustav Goswami 002; Zain ul Abi Din; Jason Lowe-Power; Samuel T. King; Zubair Shafiq (CoRR, 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., 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, 2023)

CachedArrays: Optimizing Data Movement for Heterogeneous Memory Systems. - Mark Hildebrand; Jason Lowe-Power; Venkatesh Akella (IPDPS, 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)

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)

Potential and Limitation of High-Frequency Cores and Caches. - Kunal Pai; Anusheel Nand; Jason Lowe-Power (CoRR, 2024)

Efficient Caching with A Tag-enhanced DRAM. - Maryam Babaie; Ayaz Akram; Wendy Elsasser; Brent Haukness; Michael R. Miller; Taeksang Song; Thomas Vogelsang; Steven C. Woo; Jason Lowe-Power (HPCA, 2025)

NOVA: A Novel Vertex Management Architecture for Scalable Graph Processing. - Marjan Fariborz; Mahyar Samani; Austin York; S. J. Ben Yoo; Jason Lowe-Power; Venkatesh Akella (HPCA, 2025)

Characterizing GPU Energy Usage in Exascale-Ready Portable Science Applications. - William F. Godoy; Oscar R. Hernandez; Paul R. C. Kent; Maria Patrou; Kazi Asifuzzaman; Narasinga Rao Miniskar; Pedro Valero-Lara; Jeffrey S. Vetter; Matthew D. Sinclair; Jason Lowe-Power; Bobby R. Bruce (CoRR, 2025)