Performance Analysis of Scientific Computing Workloads on General Purpose TEEs
Ayaz Akram, Anna Giannakou, Venkatesh Akella, Jason Lowe-Power, Sean Peisert. 35th IEEE International Parallel & Distributed Processing Symposium (IPDPS ...
Enabling reproducible and agile full-system simulation
Best paper nominee Bobby R. Bruce, Ayaz Akram, Hoa Nguyen, Kyle Roarty, Mahyar Samani, Marjan Fariborz, Trivikram Reddy, Matthew D. Sinclair, Jason Lowe-Powe...
A Case Against Hardware Managed DRAM Caches for NVRAM based Systems
Best paper nominee Mark Hildebrand, Julian T. Angeles, Jason Lowe-Power, Venkatesh Akella 2021 IEEE International Symposium on Performance Analysis of System...
Investigating Hardware Caches for Terabyte-scale NVDIMMs
Julian T. Angeles, Mark Hildebrand, Venkatesh Akella, Jason Lowe-Power 12TH Annual Non-volatile Memories Workshop (NVMW 2021) 2021.
AutoTM: Automatic Tensor Movement in Heterogeneous Memory Systems using Integer Linear Programming
Mark Hildebrand, Jason Lowe-Power, Venkatesh Akella 25th International Conference on Architectural Support for Programming Languages and Operating Systems (...
Using Trusted Execution Environments on High Performance Computing Platforms
Ayaz Akram and Anna Giannakou, Venkatesh Akella, Jason Lowe-Power, Sean Peisert Open-source Enclaves Workshop (OSEW 2019) 2019.
The Davis In-Order (DINO) CPU: A Teaching-focused RISC-V CPU Design
Jason Lowe-Power and Christopher Nitta Workshop on Computer Architecture Education (WCAE) 2019.
FlexCPU: A Configurable Out-of-Order CPU Abstraction
Bradley Wang, Ayaz Akram, Jason Lowe-Power ISPASS 2019.
Improving Provisioned Power Efficiency in HPC Systems with GPU-CAPP
Kramer Straube, Jason Lowe-Power, Christopher Nitta, Matthew Farrens, and Venkatesh Akella. HiPC 2018.
Integrating Cycle Accurate Chisel Models with gem5’s System Simulation
Nima Ganjehloo, Jason Lowe-Power, Venkatesh Akella CCC 2018.
A Case for Exposing Extra-Architectural State in the ISA
Jason Lowe-Power, Venkatesh Akella, Matthew K. Farrens, Samuel T. King, and Christopher J. Nitta. HASP Workshop with ISCA 2018.
Filtering Translation Bandwidth with Virtual Caching
Hongil Yoon, Jason Lowe-Power, Gurindar S. Sohi. ASPLOS 2018.
Improving Execution Time of Parallel Programs on Large Scale Chip Multiprocessors with Constant Average Power Processing
Kramer Straube, Christopher Nitta, Raj Amirtharajah, Matthew Farrens, Venkatesh Akella. ICCD 2018.
On Heterogeneous Compute and Memory Systems
Jason Lowe-Power. PhD Thesis. University of Wisconsin-Madison.
When to use 3D Die-Stacked Memory for Bandwidth-Constrained Big Data Workloads
Jason Lowe-Power, Mark D. Hill, David A. Wood. BPOE Workshop with ASPLOS 2016.
Border Control: Sandboxing Accelerators
Lena E. Olson, Jason Lowe-Power, Mark D. Hill, David A. Wood MICRO 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. DaMoN (with SIGMOD) 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 Record 2015.
Supporting x86-64 address translation for 100s of GPU lanes
Jason Power, Mark D. Hill,, David A. Wood. HPCA 2014.
gem5-gpu: A Heterogeneous CPU-GPU Simulator
Jason Power, Joel Hestness, Marc S. Orr, Mark D. Hill and David A. Wood. Computer Architecture Letters 2014.
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, and David A. Wood MICRO 2013.