Jason Yik

According to our database, Jason Yik authored at least 10 papers between 2022 and 2026.

Collaborative distances:

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

2026

Evolutionary Mapping of Neural Networks to Spatial Accelerators.

Alessandro Pierro, Jonathan Timcheck, Jason Yik, Marius Lindauer, Eyke Hüllermeier, Marcel Wever

CoRR, February, 2026

2025

Modeling and Optimizing Performance Bottlenecks for Neuromorphic Accelerators.

Jason Yik, Walter Gallego Gomez, Andrew Cheng, Benedetto Leto, Alessandro Pierro, Noah Pacik-Nelson, Korneel Van den Berghe, Vittorio Fra, Andreea Danielescu, Gianvito Urgese, Vijay Janapa Reddi

CoRR, November, 2025

QuArch: A Benchmark for Evaluating LLM Reasoning in Computer Architecture.

Shvetank Prakash, Andrew Cheng, Arya Tschand, Mark Mazumder, Varun Gohil, Jeffrey Jian Ma, Jason Yik, Zishen Wan, Jessica Quaye, Elisavet Lydia Alvanaki, Avinash Kumar, Chandrashis Mazumdar, Tuhin Khare, Alexander Ingare, Ikechukwu Uchendu, Radhika Ghosal, Abhishek Tyagi, Chenyu Wang, Andrea Mattia Garavagno, Sarah Gu, Alice Guo, Grace Hur, Luca P. Carloni, Tushar Krishna, Ankita Nayak, Amir Yazdanbakhsh, Vijay Janapa Reddi

CoRR, October, 2025

QuArch: A Question-Answering Dataset for AI Agents in Computer Architecture.

Shvetank Prakash, Andrew Cheng, Jason Yik, Arya Tschand, Radhika Ghosal, Ikechukwu Uchendu, Jessica Quaye, Jeffrey Jian Ma, Shreyas Grampurohit, Sofia Giannuzzi, Arnav Balyan, Fin Amin, Aadya Pipersenia, Yash Choudhary, Ankita Nayak, Amir Yazdanbakhsh, Vijay Janapa Reddi

IEEE Comput. Archit. Lett., 2025

2024

Grand Challenge on Neural Decoding for Motor Control of non-Human Primates.

Biyan Zhou, Pao-Sheng Vincent Sun, Jason Yik, Charlotte Frenkel, Vijay Janapa Reddi, Arindam Basu

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2024

2023

NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking.

Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G. Andreou, Chiara Bartolozzi, Arindam Basu, Douwe den Blanken, Petrut Bogdan, Sander M. Bohté, Younes Bouhadjar, Sonia M. Buckley, Gert Cauwenberghs, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Reddy Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Jeremy Forest, Steve B. Furber, P. Michael Furlong, Aditya Gilra, Giacomo Indiveri, Siddharth Joshi, Vedant Karia, Lyes Khacef, James C. Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Gregor Lenz, Rajit Manohar, Christian Mayr, Konstantinos P. Michmizos, Dylan R. Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayça Özcelikkale, Noah Pacik-Nelson, Priyadarshini Panda, Pao-Sheng Sun, Melika Payvand, Christian Pehle, Mihai A. Petrovici, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens JS Schaefer, André van Schaik, Johannes Schemmel, Catherine D. Schuman, Jae-sun Seo, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Kenneth Michael Stewart, Terrence C. Stewart, Philipp Stratmann, Guangzhi Tang, Jonathan Timcheck, Marian Verhelst, Craig M. Vineyard, Bernhard Vogginger, Amirreza Yousefzadeh, Biyan Zhou, Fatima Tuz Zohora, Charlotte Frenkel, Vijay Janapa Reddi

CoRR, 2023

XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse.

Hyoukjun Kwon, Krishnakumar Nair, Jamin Seo, Jason Yik, Debabrata Mohapatra, Dongyuan Zhan, Jinook Song, Peter Capak, Peizhao Zhang, Peter Vajda, Colby R. Banbury, Mark Mazumder, Liangzhen Lai, Ashish Sirasao, Tushar Krishna, Harshit Khaitan, Vikas Chandra, Vijay Janapa Reddi

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

VaPr: Variable-Precision Tensors to Accelerate Robot Motion Planning.

Yu-Shun Hsiao, Siva Kumar Sastry Hari, Balakumar Sundaralingam, Jason Yik, Thierry Tambe, Charbel Sakr, Stephen W. Keckler, Vijay Janapa Reddi

IROS, 2023

2022

Input Feature Pruning for Accelerating GNN Inference on Heterogeneous Platforms.

Jason Yik, Sanmukh R. Kuppannagari, Hanqing Zeng, Viktor K. Prasanna

Proceedings of the 29th IEEE International Conference on High Performance Computing, 2022

SparseCore: stream ISA and processor specialization for sparse computation.

Gengyu Rao, Jingji Chen, Jason Yik, Xuehai Qian

Proceedings of the ASPLOS '22: 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Lausanne, Switzerland, 28 February 2022, 2022