Aaron R. Young

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 20

Top Topics

Machine Learning

Heterogeneous Computing

Top Venues

Publications

Narasinga Rao Miniskar, Seyong Lee, Beau Johnston, Aaron R. Young, Mohammad Alaul Haque Monil, Pedro Valero-Lara, Jeffrey S. Vetter
IRIS Reimagined: Advancements in Intelligent Runtime System for Task-Based Programming. WAMTA (2024)
Brett Witherspoon, Aaron R. Young
Event-Driven Sensing and Embedded Neuromorphic Platforms for Gamma Radiation Monitoring. ACM Great Lakes Symposium on VLSI (2024)
Beau Johnston, Narasinga Rao Miniskar, Aaron R. Young, Mohammad Alaul Haque Monil, Seyong Lee, Jeffrey S. Vetter
IRIS: Exploring Performance Scaling of the Intelligent Runtime System and its Dynamic Scheduling Policies. IPDPS (Workshops) (2024)
Jeffrey S. Vetter, Prasanna Date, Farah Fahim, Shruti R. Kulkarni, Petro Maksymovych, A. Alec Talin, Marc González Tallada, Pruek Vanna-Iampikul, Aaron R. Young, David Brooks, Yu Cao, Gu-Yeon Wei, Sung Kyu Lim, Frank Liu, Matthew J. Marinella, Bobby G. Sumpter, Narasinga Rao Miniskar
Abisko: Deep codesign of an architecture for spiking neural networks using novel neuromorphic materials. Int. J. High Perform. Comput. Appl. 37 (3-4) (2023)
Ahna Wurm, Rebecca Seay, Prasanna Date, Shruti R. Kulkarni, Aaron R. Young, Jeffrey S. Vetter
Arithmetic Primitives for Efficient Neuromorphic Computing. ICRC (2023)
Narasinga Rao Miniskar, Pruek Vanna-Iampikul, Aaron R. Young, Sung Kyu Lim, Frank Liu, Jieun Yoo, Corrinne Mills, Nhan Tran, Farah Fahim, Jeffrey S. Vetter
A 3D Implementation of Convolutional Neural Network for Fast Inference. ISCAS (2023)
Shruti R. Kulkarni, Aaron R. Young, Prasanna Date, Narasinga Rao Miniskar, Jeffrey S. Vetter, Farah Fahim, Benjamin Parpillon, Jennet Dickinson, Nhan Tran, Jieun Yoo, Corrinne Mills, Morris Swartz, Petar Maksimovic, Catherine D. Schuman, Alice Bean
On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments. CoRR (2023)
Shruti R. Kulkarni, Aaron R. Young, Prasanna Date, Narasinga Rao Miniskar, Jeffrey S. Vetter, Farah Fahim, Benjamin Parpillon, Jennet Dickinson, Nhan Tran, Jieun Yoo, Corrinne Mills, Morris Swartz, Petar Maksimovic, Catherine D. Schuman, Alice Bean
On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments. ICONS (2023)
Disha Maheshwari, Aaron R. Young, Prasanna Date, Shruti R. Kulkarni, Brett Witherspoon, Narasinga Rao Miniskar
An FPGA-Based Neuromorphic Processor with All-to-All Connectivity. ICRC (2023)
Anthony M. Cabrera, Aaron R. Young, Jeffrey S. Vetter
Design and analysis of CXL performance models for tightly-coupled heterogeneous computing. ExHET@PPOPP (2022)
Prasanna Date, Shruti R. Kulkarni, Aaron R. Young, Catherine D. Schuman, Thomas E. Potok, Jeffrey S. Vetter
Encoding Integers and Rationals on Neuromorphic Computers using Virtual Neuron. CoRR (2022)
Narasinga Rao Miniskar, Aaron R. Young, Frank Liu, Willem Blokland, Anthony M. Cabrera, Jeffrey S. Vetter
Ultra Low Latency Machine Learning for Scientific Edge Applications. FPL (2022)
Prasanna Date, Shruti R. Kulkarni, Aaron R. Young, Catherine D. Schuman, Thomas E. Potok, Jeffrey S. Vetter
Virtual Neuron: A Neuromorphic Approach for Encoding Numbers. ICRC (2022)
Aaron R. Young, Narasinga Rao Miniskar, Frank Liu, Willem Blokland, Jeffrey S. Vetter
Adrastea: An Efficient FPGA Design Environment for Heterogeneous Scientific Computing and Machine Learning. SMC (2022)
Narasinga Rao Miniskar, Frank Liu, Aaron R. Young, Dwaipayan Chakraborty, Jeffrey S. Vetter
A Hierarchical Task Scheduler for Heterogeneous Computing. ISC (2021)
Anthony M. Cabrera, Aaron R. Young, Jacob Lambert, Zhili Xiao, Amy An, Seyong Lee, Zheming Jin, Jungwon Kim, Jeremy Buhler, Roger D. Chamberlain, Jeffrey S. Vetter
Toward Evaluating High-Level Synthesis Portability and Performance between Intel and Xilinx FPGAs. IWOCL (2021)
Aaron R. Young, Adam Z. Foshie, Mark E. Dean, James S. Plank, Garrett S. Rose, J. Parker Mitchell, Catherine D. Schuman
Scaled-up Neuromorphic Array Communications Controller (SNACC) for Large-scale Neural Networks. IJCNN (2020)
Aaron R. Young, Mark E. Dean, James S. Plank, Garrett S. Rose
A Review of Spiking Neuromorphic Hardware Communication Systems. IEEE Access 7 (2019)
Aaron R. Young, Mark E. Dean, James S. Plank, Garrett S. Rose, Catherine D. Schuman
Neuromorphic Array Communications Controller to Support Large-Scale Neural Networks. IJCNN (2018)
Catherine D. Schuman, Grant Bruer, Aaron R. Young, Mark E. Dean, James S. Plank
Understanding Selection And Diversity For Evolution Of Spiking Recurrent Neural Networks. IJCNN (2018)