Nuwan Jayasena

47 papers A* 8A 5B 2Journal 16Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	RAPID-Serve: Resource-efficient and Accelerated P/D Intra-GPU Disaggregation. CoRR Amna Masood, Pratishtha Gaur, Nuwan Jayasena
2026	J	`jnl`	The qs Inequality: Quantifying the Double Penalty of Mixture-of-Experts at Inference. CoRR Vignesh Adhinarayanan, Nuwan Jayasena
2025	B	`conf`	Concurrent PIM and Load/Store Servicing in PIM-Enabled Memory. ISPASS Sudhanshu Gupta, Niti Madan, Sooraj Puthoor, Nuwan Jayasena, Sandhya Dwarkadas
2025	J	`jnl`	GOLDYLOC: Global Optimizations & Lightweight Dynamic Logic for Concurrency. ACM Trans. Archit. Code Optim. Suchita Pati, Shaizeen Aga, Nuwan Jayasena, Matthew D. Sinclair
2024	J	`jnl`	Global Optimizations & Lightweight Dynamic Logic for Concurrency. CoRR Suchita Pati, Shaizeen Aga, Nuwan Jayasena, Matthew D. Sinclair
2024	—	`conf`	PIM-Potential: Broadening the Acceleration Reach of PIM Architectures. MEMSYS Johnathan Alsop, Shaizeen Aga, Mohamed Assem Ibrahim, Mahzabeen Islam, Nuwan Jayasena, Andrew McCrabb
2024	—	`conf`	T3: Transparent Tracking & Triggering for Fine-grained Overlap of Compute & Collectives. ASPLOS (2) Suchita Pati, Shaizeen Aga, Mahzabeen Islam, Nuwan Jayasena, Matthew D. Sinclair
2024	J	`jnl`	T3: Transparent Tracking & Triggering for Fine-grained Overlap of Compute & Collectives. CoRR Suchita Pati, Shaizeen Aga, Mahzabeen Islam, Nuwan Jayasena, Matthew D. Sinclair
2023	A*	`conf`	A Research Retrospective on AMD's Exascale Computing Journey. ISCA Gabriel H. Loh, Michael J. Schulte, Mike Ignatowski, Vignesh Adhinarayanan, Shaizeen Aga, Derrick Aguren, Varun Agrawal, Ashwin M. Aji, Johnathan Alsop, Paul T. Bauman, Bradford M. Beckmann, Majed Valad Beigi, Sergey Blagodurov, Travis Boraten, Michael Boyer, William C. Brantley, Noel Chalmers, Shaoming Chen, Kevin Cheng, Michael L. Chu, David Cownie, Nicholas Curtis, Joris Del Pino, Nam Duong, Alexandru Dutu, Yasuko Eckert, Christopher Erb, Chip Freitag, Joseph L. Greathouse, Sudhanva Gurumurthi, Anthony Gutierrez, Khaled Hamidouche, Sachin Hossamani, Wei Huang, Mahzabeen Islam, Nuwan Jayasena, John Kalamatianos, Onur Kayiran, Jagadish Kotra, Alan Lee, Daniel Lowell, Niti Madan, Abhinandan Majumdar, Nicholas Malaya, Srilatha Manne, Susumu Mashimo, Damon McDougall, Elliot Mednick, Michael Mishkin, Mark Nutter, Indrani Paul, Matthew Poremba, Brandon Potter, Kishore Punniyamurthy, Sooraj Puthoor, Steven E. Raasch, Karthik Rao, Gregory Rodgers, Marko Scrbak, Mohammad Seyedzadeh, John Slice, Vilas Sridharan, René van Oostrum, Eric Van Tassell, Abhinav Vishnu, Samuel Wasmundt, Mark Wilkening, Noah Wolfe, Mark Wyse, Adithya Yalavarti, Dmitri Yudanov
2023	J	`jnl`	Computation vs. Communication Scaling for Future Transformers on Future Hardware. CoRR Suchita Pati, Shaizeen Aga, Mahzabeen Islam, Nuwan Jayasena, Matthew D. Sinclair
2023	J	`jnl`	Inclusive-PIM: Hardware-Software Co-design for Broad Acceleration on Commercial PIM Architectures. CoRR Johnathan Alsop, Shaizeen Aga, Mohamed Assem Ibrahim, Mahzabeen Islam, Andrew McCrabb, Nuwan Jayasena
2023	—	`conf`	Tale of Two Cs: Computation vs. Communication Scaling for Future Transformers on Future Hardware. IISWC Suchita Pati, Shaizeen Aga, Mahzabeen Islam, Nuwan Jayasena, Matthew D. Sinclair
2022	—	`conf`	Demystifying BERT: System Design Implications. IISWC Suchita Pati, Shaizeen Aga, Nuwan Jayasena, Matthew D. Sinclair
2021	J	`jnl`	Demystifying BERT: Implications for Accelerator Design. CoRR Suchita Pati, Shaizeen Aga, Nuwan Jayasena, Matthew D. Sinclair
2020	—	`conf`	Memory Performance Optimization. IA3@SC Nuwan Jayasena
2020	J	`jnl`	Morton filters: fast, compressed sparse cuckoo filters. VLDB J. Alex D. Breslow, Nuwan Jayasena
2020	B	`conf`	SeqPoint: Identifying Representative Iterations of Sequence-Based Neural Networks. ISPASS Suchita Pati, Shaizeen Aga, Matthew D. Sinclair, Nuwan Jayasena
2020	J	`jnl`	SeqPoint: Identifying Representative Iterations of Sequence-based Neural Networks. CoRR Suchita Pati, Shaizeen Aga, Matthew D. Sinclair, Nuwan Jayasena
2019	—	`conf`	Co-ML: a case for <u>co</u>llaborative <u>ML</u> acceleration using near-data processing. MEMSYS Shaizeen Aga, Nuwan Jayasena, Mike Ignatowski
2018	J	`jnl`	CODA: Enabling Co-location of Computation and Data for Multiple GPU Systems. ACM Trans. Archit. Code Optim. Hyojong Kim, Ramyad Hadidi, Lifeng Nai, Hyesoon Kim, Nuwan Jayasena, Yasuko Eckert, Onur Kayiran, Gabriel H. Loh
2018	J	`jnl`	Morton Filters: Faster, Space-Efficient Cuckoo Filters via Biasing, Compression, and Decoupled Logical Sparsity. Proc. VLDB Endow. Alexander Dodd Breslow, Nuwan Jayasena
2018	A*	`conf`	RegMutex: Inter-Warp GPU Register Time-Sharing. ISCA Farzad Khorasani, Hodjat Asghari Esfeden, Amin Farmahini Farahani, Nuwan Jayasena, Vivek Sarkar
2017	J	`jnl`	CODA: Enabling Co-location of Computation and Data for Near-Data Processing. CoRR Hyojong Kim, Ramyad Hadidi, Lifeng Nai, Hyesoon Kim, Nuwan Jayasena, Yasuko Eckert, Onur Kayiran, Gabriel H. Loh
2017	—	`conf`	DVFS Space Exploration in Power Constrained Processing-in-Memory Systems. ARCS Marko Scrbak, Joseph L. Greathouse, Nuwan Jayasena, Krishna M. Kavi
2017	J	`jnl`	Exploring the Processing-in-Memory design space. J. Syst. Archit. Marko Scrbak, Mahzabeen Islam, Krishna M. Kavi, Mike Ignatowski, Nuwan Jayasena
2017	—	`conf`	HBM-Resident Prefetching for Heterogeneous Memory System. ARCS Mahzabeen Islam, Krishna M. Kavi, Mitesh R. Meswani, Soumik Banerjee, Nuwan Jayasena
2017	A*	`conf`	MemPod: A Clustered Architecture for Efficient and Scalable Migration in Flat Address Space Multi-level Memories. HPCA Andreas Prodromou, Mitesh R. Meswani, Nuwan Jayasena, Gabriel H. Loh, Dean M. Tullsen
2016	—	`conf`	Analytical Study on Bandwidth Efficiency of Heterogeneous Memory Systems. MEMSYS Amin Farmahini Farahani, David Roberts, Nuwan Jayasena
2016	—	`conf`	Fine-Grained Task Migration for Graph Algorithms Using Processing in Memory. IPDPS Workshops Paula Aguilera, Dong Ping Zhang, Nam Sung Kim, Nuwan Jayasena
2016	—	`conf`	HADM: Hybrid Analysis for Detection of Malware. IntelliSys (2) Lifan Xu, Dong Ping Zhang, Nuwan Jayasena, John Cavazos
2016	—	`conf`	Horton Tables: Fast Hash Tables for In-Memory Data-Intensive Computing. USENIX ATC Alex D. Breslow, Dong Ping Zhang, Joseph L. Greathouse, Nuwan Jayasena, Dean M. Tullsen
2016	J	`jnl`	Near-Memory Data Services. IEEE Micro Babak Falsafi, Mircea Stan, Kevin Skadron, Nuwan Jayasena, Yunji Chen, Jinhua Tao, Ravi Nair, Jaime H. Moreno, Naveen Muralimanohar, Karthikeyan Sankaralingam, Cristian Estan
2016	A	`conf`	Prefetching Techniques for Near-memory Throughput Processors. ICS Reena Panda, Yasuko Eckert, Nuwan Jayasena, Onur Kayiran, Michael Boyer, Lizy Kurian John
2015	J	`jnl`	Achieving Exascale Capabilities through Heterogeneous Computing. IEEE Micro Michael J. Schulte, Mike Ignatowski, Gabriel H. Loh, Bradford M. Beckmann, William C. Brantley, Sudhanva Gurumurthi, Nuwan Jayasena, Indrani Paul, Steven K. Reinhardt, Gregory Rodgers
2015	A*	`conf`	GPGPU performance and power estimation using machine learning. HPCA Gene Y. Wu, Joseph L. Greathouse, Alexander Lyashevsky, Nuwan Jayasena, Derek Chiou
2015	—	`conf`	Processing-in-Memory: Exploring the Design Space. ARCS Marko Scrbak, Mahzabeen Islam, Krishna M. Kavi, Mike Ignatowski, Nuwan Jayasena
2015	A*	`conf`	Understanding idle behavior and power gating mechanisms in the context of modern benchmarks on CPU-GPU Integrated systems. HPCA Manish Arora, Srilatha Manne, Indrani Paul, Nuwan Jayasena, Dean M. Tullsen
2014	A*	`conf`	A comparison of core power gating strategies implemented in modern hardware. SIGMETRICS Manish Arora, Srilatha Manne, Yasuko Eckert, Indrani Paul, Nuwan Jayasena, Dean M. Tullsen
2014	—	`conf`	Improving Node-Level MapReduce Performance Using Processing-in-Memory Technologies. Euro-Par Workshops (2) Mahzabeen Islam, Marko Scrbak, Krishna M. Kavi, Mike Ignatowski, Nuwan Jayasena
2014	A	`conf`	Managing DRAM Latency Divergence in Irregular GPGPU Applications. SC Niladrish Chatterjee, Mike O'Connor, Gabriel H. Loh, Nuwan Jayasena, Rajeev Balasubramonian
2014	A	`conf`	TOP-PIM: throughput-oriented programmable processing in memory. HPDC Dong Ping Zhang, Nuwan Jayasena, Alexander Lyashevsky, Joseph L. Greathouse, Lifan Xu, Michael Ignatowski
2013	—	`conf`	A new perspective on processing-in-memory architecture design. MSPC@PLDI Dong Ping Zhang, Nuwan Jayasena, Alexander Lyashevsky, Joseph L. Greathouse, Mitesh R. Meswani, Mark Nutter, Mike Ignatowski
2013	—	`conf`	Load balancing in a changing world: dealing with heterogeneity and performance variability. Conf. Computing Frontiers Michael Boyer, Kevin Skadron, Shuai Che, Nuwan Jayasena
2005	A	`conf`	Fault Tolerance Techniques for the Merrimac Streaming Supercomputer. SC Mattan Erez, Nuwan Jayasena, Timothy J. Knight, William J. Dally
2004	A*	`conf`	Stream Register Files with Indexed Access. HPCA Nuwan Jayasena, Mattan Erez, Jung Ho Ahn, William J. Dally
2003	A	`conf`	Merrimac: Supercomputing with Streams. SC William J. Dally, Francois Labonte, Abhishek Das, Pat Hanrahan, Jung Ho Ahn, Jayanth Gummaraju, Mattan Erez, Nuwan Jayasena, Ian Buck, Timothy J. Knight, Ujval J. Kapasi
2000	A*	`conf`	Smart Memories: a modular reconfigurable architecture. ISCA Ken Mai, Tim Paaske, Nuwan Jayasena, Ron Ho, William J. Dally, Mark Horowitz