Aaron R. Young

37 papers A 2B 7C 3Journal 8Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Accl++ : A high-productivity programming language for performance and code portability on heterogeneous systems. Future Gener. Comput. Syst. Marc González, Pedro Valero-Lara, Mohammad Alaul Haque Monil, Seyong Lee, Beau Johnston, Aaron R. Young, Narasinga Rao Miniskar, Keita Teranishi, Jeffrey S. Vetter
2026	—	`conf`	ChatMPI: LLM-Driven MPI Code Generation for HPC Workloads. SCA/HPC Asia Pedro Valero-Lara, Aaron R. Young, Thomas Naughton III, Christian Engelmann, Al Geist, Jeffrey S. Vetter, Keita Teranishi, William F. Godoy
2025	A	`conf`	ChatHPC: Building the Foundations for a Productive and Trustworthy AI-Assisted HPC Ecosystem. SC Pedro Valero-Lara, Aaron R. Young, Jeffrey S. Vetter, Zheming Jin, Swaroop Pophale, Mohammad Alaul Haque Monil, Keita Teranishi, William F. Godoy
2025	—	`conf`	Evolution at the Edge: Real-Time Evolution for Neuromorphic Engine Control. NICE Karan Patel, Ethan Maness, Tyler Nitzsche, Emma G. Brown, Brett Witherspoon, Aaron R. Young, Bryan P. Maldonado, Brian C. Kaul, James S. Plank, Catherine D. Schuman
2025	B	`conf`	Exploring Spiking Neural Networks for Binary Classification in Multivariate Time Series at the Edge. IJCNN James Ghawaly, Andrew D. Nicholson, Catherine D. Schuman, Dalton Diez, Aaron R. Young, Brett Witherspoon
2025	J	`jnl`	Exploring Spiking Neural Networks for Binary Classification in Multivariate Time Series at the Edge. CoRR James Ghawaly, Andrew D. Nicholson, Catherine D. Schuman, Dalton Diez, Aaron R. Young, Brett Witherspoon
2025	B	`conf`	IRIS-MASH: Efficient Multi-device Asynchronous Multi-Stream Heterogeneous Computing. ICPP Narasinga Rao Miniskar, Aaron R. Young, Mohammad Alaul Haque Monil, Kazi Asifuzzaman, Beau Johnston, Keita Teranishi, Jeffrey S. Vetter
2025	C	`conf`	Leveraging AI for Productive and Trustworthy HPC Software: Challenges and Research Directions. ISC Keita Teranishi, Harshitha Menon, William F. Godoy, Prasanna Balaprakash, David Bau, Tal Ben-Nun, Abhinav Bhatele, Franz Franchetti, Michael E. Franusich, Todd Gamblin, Giorgis Georgakoudis, Tom Goldstein, Arjun Guha, Steven E. Hahn, Costin Iancu, Zheming Jin, Terry R. Jones, Tze Meng Low, Het Mankad, Narasinga Rao Miniskar, Mohammad Alaul Haque Monil, Daniel Nichols, Konstantinos Parasyris, Swaroop Pophale, Pedro Valero-Lara, Jeffrey S. Vetter, Samuel Williams, Aaron R. Young
2025	J	`jnl`	Leveraging AI for Productive and Trustworthy HPC Software: Challenges and Research Directions. CoRR Keita Teranishi, Harshitha Menon, William F. Godoy, Prasanna Balaprakash, David Bau, Tal Ben-Nun, Abhinav Bhatele, Franz Franchetti, Michael E. Franusich, Todd Gamblin, Giorgis Georgakoudis, Tom Goldstein, Arjun Guha, Steven E. Hahn, Costin Iancu, Zheming Jin, Terry R. Jones, Tze Meng Low, Het Mankad, Narasinga Rao Miniskar, Mohammad Alaul Haque Monil, Daniel Nichols, Konstantinos Parasyris, Swaroop Pophale, Pedro Valero-Lara, Jeffrey S. Vetter, Samuel Williams, Aaron R. Young
2025	A	`conf`	Mapping Spiking Neural Networks to Heterogeneous Crossbar Architectures using Integer Linear Programming. DATE Devin Pohl, Aaron R. Young, Kazi Asifuzzaman, Narasinga Rao Miniskar, Jeffrey S. Vetter
2025	J	`jnl`	Mapping Spiking Neural Networks to Heterogeneous Crossbar Architectures using Integer Linear Programming. CoRR Devin Pohl, Aaron R. Young, Kazi Asifuzzaman, Narasinga Rao Miniskar, Jeffrey S. Vetter
2025	—	`conf`	ReSpike: A Co-Design Framework for Evaluating SNNs on ReRAM-Based Neuromorphic Processors. Euro-Par (2) Kazi Asifuzzaman, Aaron R. Young, Prasanna Date, Shruti R. Kulkarni, Narasinga Rao Miniskar, Matthew J. Marinella, Jeffrey S. Vetter
2024	—	`conf`	Event-Driven Sensing and Embedded Neuromorphic Platforms for Gamma Radiation Monitoring. ACM Great Lakes Symposium on VLSI Brett Witherspoon, Aaron R. Young
2024	—	`conf`	IRIS Reimagined: Advancements in Intelligent Runtime System for Task-Based Programming. WAMTA Narasinga Rao Miniskar, Seyong Lee, Beau Johnston, Aaron R. Young, Mohammad Alaul Haque Monil, Pedro Valero-Lara, Jeffrey S. Vetter
2024	—	`conf`	IRIS-GNN: Leveraging Graph Neural Networks for Scheduling on Truly Heterogeneous Runtime Systems. SC Workshops Beau Johnston, Thibault de Boissiere, Mohammad Alaul Haque Monil, Narasinga Rao Miniskar, Aaron R. Young, Seyong Lee, Jeffrey S. Vetter
2024	—	`conf`	IRIS-MEMFLOW: Data Flow-Enabled Portable Memory Orchestration in IRIS Runtime for Diverse Heterogeneity. HPEC Mohammad Alaul Haque Monil, Narasinga Rao Miniskar, Seyong Lee, Beau Johnston, Pedro Valero-Lara, Aaron R. Young, Keita Teranishi, Jeffrey S. Vetter
2024	—	`conf`	IRIS: Exploring Performance Scaling of the Intelligent Runtime System and its Dynamic Scheduling Policies. IPDPS (Workshops) Beau Johnston, Narasinga Rao Miniskar, Aaron R. Young, Mohammad Alaul Haque Monil, Seyong Lee, Jeffrey S. Vetter
2024	—	`conf`	Neuro-Spark: A Submicrosecond Spiking Neural Networks Architecture for In-Sensor Filtering. ICONS Narasinga Rao Miniskar, Aaron R. Young, Kazi Asifuzzaman, Shruti R. Kulkarni, Prasanna Date, Alice Bean, Jeffrey S. Vetter
2023	C	`conf`	A 3D Implementation of Convolutional Neural Network for Fast Inference. ISCAS 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
2023	J	`jnl`	Abisko: Deep codesign of an architecture for spiking neural networks using novel neuromorphic materials. Int. J. High Perform. Comput. Appl. 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
2023	—	`conf`	An FPGA-Based Neuromorphic Processor with All-to-All Connectivity. ICRC Disha Maheshwari, Aaron R. Young, Prasanna Date, Shruti R. Kulkarni, Brett Witherspoon, Narasinga Rao Miniskar
2023	—	`conf`	Arithmetic Primitives for Efficient Neuromorphic Computing. ICRC Ahna Wurm, Rebecca Seay, Prasanna Date, Shruti R. Kulkarni, Aaron R. Young, Jeffrey S. Vetter
2023	—	`conf`	On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments. ICONS 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
2023	J	`jnl`	On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments. CoRR 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
2023	—	`conf`	Performance Optimization Study of the Neuromorphic Radiation Anomaly Detector. ICONS James Ghawaly, Aaron R. Young, Andrew D. Nicholson, Brett Witherspoon, Nick Prins, Mathew Swinney, Cihangir Celik, Catherine D. Schuman, Karan Patel
2022	—	`conf`	A Neuromorphic Algorithm for Radiation Anomaly Detection. ICONS James Ghawaly, Aaron R. Young, Dan Archer, Nick Prins, Brett Witherspoon, Catherine D. Schuman
2022	B	`conf`	Adrastea: An Efficient FPGA Design Environment for Heterogeneous Scientific Computing and Machine Learning. SMC Aaron R. Young, Narasinga Rao Miniskar, Frank Liu, Willem Blokland, Jeffrey S. Vetter
2022	—	`conf`	Design and analysis of CXL performance models for tightly-coupled heterogeneous computing. ExHET@PPOPP Anthony M. Cabrera, Aaron R. Young, Jeffrey S. Vetter
2022	J	`jnl`	Encoding Integers and Rationals on Neuromorphic Computers using Virtual Neuron. CoRR Prasanna Date, Shruti R. Kulkarni, Aaron R. Young, Catherine D. Schuman, Thomas E. Potok, Jeffrey S. Vetter
2022	B	`conf`	Ultra Low Latency Machine Learning for Scientific Edge Applications. FPL Narasinga Rao Miniskar, Aaron R. Young, Frank Liu, Willem Blokland, Anthony M. Cabrera, Jeffrey S. Vetter
2022	—	`conf`	Virtual Neuron: A Neuromorphic Approach for Encoding Numbers. ICRC Prasanna Date, Shruti R. Kulkarni, Aaron R. Young, Catherine D. Schuman, Thomas E. Potok, Jeffrey S. Vetter
2021	C	`conf`	A Hierarchical Task Scheduler for Heterogeneous Computing. ISC Narasinga Rao Miniskar, Frank Liu, Aaron R. Young, Dwaipayan Chakraborty, Jeffrey S. Vetter
2021	—	`conf`	Toward Evaluating High-Level Synthesis Portability and Performance between Intel and Xilinx FPGAs. IWOCL 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
2020	B	`conf`	Scaled-up Neuromorphic Array Communications Controller (SNACC) for Large-scale Neural Networks. IJCNN Aaron R. Young, Adam Z. Foshie, Mark E. Dean, James S. Plank, Garrett S. Rose, J. Parker Mitchell, Catherine D. Schuman
2019	J	`jnl`	A Review of Spiking Neuromorphic Hardware Communication Systems. IEEE Access Aaron R. Young, Mark E. Dean, James S. Plank, Garrett S. Rose
2018	B	`conf`	Neuromorphic Array Communications Controller to Support Large-Scale Neural Networks. IJCNN Aaron R. Young, Mark E. Dean, James S. Plank, Garrett S. Rose, Catherine D. Schuman
2018	B	`conf`	Understanding Selection And Diversity For Evolution Of Spiking Recurrent Neural Networks. IJCNN Catherine D. Schuman, Grant Bruer, Aaron R. Young, Mark E. Dean, James S. Plank