Niladrish Chatterjee

33 papers A* 12A 3B 3Journal 9Unranked 5

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	GPU Domain Specialization via Composable On-Package Architecture. ACM Trans. Archit. Code Optim. Yaosheng Fu, Evgeny Bolotin, Niladrish Chatterjee, David W. Nellans, Stephen W. Keckler
2022	A*	`conf`	Saving PAM4 Bus Energy with SMOREs: Sparse Multi-level Opportunistic Restricted Encodings. HPCA Mike O'Connor, Donghyuk Lee, Niladrish Chatterjee, Michael B. Sullivan, Stephen W. Keckler
2021	J	`jnl`	GPU Domain Specialization via Composable On-Package Architecture. CoRR Yaosheng Fu, Evgeny Bolotin, Niladrish Chatterjee, David W. Nellans, Stephen W. Keckler
2021	B	`conf`	Learning Sparse Matrix Row Permutations for Efficient SpMM on GPU Architectures. ISPASS Atefeh Mehrabi, Donghyuk Lee, Niladrish Chatterjee, Daniel J. Sorin, Benjamin C. Lee, Mike O'Connor
2021	A*	`conf`	Need for Speed: Experiences Building a Trustworthy System-Level GPU Simulator. HPCA Oreste Villa, Daniel Lustig, Zi Yan, Evgeny Bolotin, Yaosheng Fu, Niladrish Chatterjee, Nan Jiang, David W. Nellans
2019	B	`conf`	DeLTA: GPU Performance Model for Deep Learning Applications with In-Depth Memory System Traffic Analysis. ISPASS Sangkug Lym, Donghyuk Lee, Mike O'Connor, Niladrish Chatterjee, Mattan Erez
2019	J	`jnl`	DeLTA: GPU Performance Model for Deep Learning Applications with In-depth Memory System Traffic Analysis. CoRR Sangkug Lym, Donghyuk Lee, Mike O'Connor, Niladrish Chatterjee, Mattan Erez
2019	A	`conf`	Near-memory data transformation for efficient sparse matrix multi-vector multiplication. SC Daichi Fujiki, Niladrish Chatterjee, Donghyuk Lee, Mike O'Connor
2018	A*	`conf`	Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks. HPCA Minsoo Rhu, Mike O'Connor, Niladrish Chatterjee, Jeff Pool, Youngeun Kwon, Stephen W. Keckler
2018	A*	`conf`	Reducing Data Transfer Energy by Exploiting Similarity within a Data Transaction. HPCA Donghyuk Lee, Mike O'Connor, Niladrish Chatterjee
2018	J	`jnl`	Voltron: Understanding and Exploiting the Voltage-Latency-Reliability Trade-Offs in Modern DRAM Chips to Improve Energy Efficiency. CoRR Kevin K. Chang, Abdullah Giray Yaglikçi, Saugata Ghose, Aditya Agrawal, Niladrish Chatterjee, Abhijith Kashyap, Donghyuk Lee, Mike O'Connor, Hasan Hassan, Onur Mutlu
2018	—	`conf`	What Your DRAM Power Models Are Not Telling You: Lessons from a Detailed Experimental Study. SIGMETRICS (Abstracts) Saugata Ghose, Abdullah Giray Yaglikçi, Raghav Gupta, Donghyuk Lee, Kais Kudrolli, William X. Liu, Hasan Hassan, Kevin K. Chang, Niladrish Chatterjee, Aditya Agrawal, Mike O'Connor, Onur Mutlu
2018	J	`jnl`	What Your DRAM Power Models Are Not Telling You: Lessons from a Detailed Experimental Study. CoRR Saugata Ghose, Abdullah Giray Yaglikçi, Raghav Gupta, Donghyuk Lee, Kais Kudrolli, William X. Liu, Hasan Hassan, Kevin K. Chang, Niladrish Chatterjee, Aditya Agrawal, Mike O'Connor, Onur Mutlu
2018	J	`jnl`	What Your DRAM Power Models Are Not Telling You: Lessons from a Detailed Experimental Study. Proc. ACM Meas. Anal. Comput. Syst. Saugata Ghose, Abdullah Giray Yaglikçi, Raghav Gupta, Donghyuk Lee, Kais Kudrolli, William X. Liu, Hasan Hassan, Kevin K. Chang, Niladrish Chatterjee, Aditya Agrawal, Mike O'Connor, Onur Mutlu
2017	A*	`conf`	Architecting an Energy-Efficient DRAM System for GPUs. HPCA Niladrish Chatterjee, Mike O'Connor, Donghyuk Lee, Daniel R. Johnson, Stephen W. Keckler, Minsoo Rhu, William J. Dally
2017	J	`jnl`	Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks. CoRR Minsoo Rhu, Mike O'Connor, Niladrish Chatterjee, Jeff Pool, Stephen W. Keckler
2017	A*	`conf`	Fine-grained DRAM: energy-efficient DRAM for extreme bandwidth systems. MICRO Mike O'Connor, Niladrish Chatterjee, Donghyuk Lee, John M. Wilson, Aditya Agrawal, Stephen W. Keckler, William J. Dally
2017	A	`conf`	Toward standardized near-data processing with unrestricted data placement for GPUs. SC Gwangsun Kim, Niladrish Chatterjee, Mike O'Connor, Kevin Hsieh
2017	J	`jnl`	Understanding Reduced-Voltage Operation in Modern DRAM Chips: Characterization, Analysis, and Mechanisms. CoRR Kevin K. Chang, Abdullah Giray Yaglikçi, Saugata Ghose, Aditya Agrawal, Niladrish Chatterjee, Abhijith Kashyap, Donghyuk Lee, Mike O'Connor, Hasan Hassan, Onur Mutlu
2017	—	`conf`	Understanding Reduced-Voltage Operation in Modern DRAM Devices: Experimental Characterization, Analysis, and Mechanisms. SIGMETRICS (Abstracts) Kevin K. Chang, Abdullah Giray Yaglikçi, Saugata Ghose, Aditya Agrawal, Niladrish Chatterjee, Abhijith Kashyap, Donghyuk Lee, Mike O'Connor, Hasan Hassan, Onur Mutlu
2017	J	`jnl`	Understanding Reduced-Voltage Operation in Modern DRAM Devices: Experimental Characterization, Analysis, and Mechanisms. Proc. ACM Meas. Anal. Comput. Syst. Kevin K. Chang, Abdullah Giray Yaglikçi, Saugata Ghose, Aditya Agrawal, Niladrish Chatterjee, Abhijith Kashyap, Donghyuk Lee, Mike O'Connor, Hasan Hassan, Onur Mutlu
2016	B	`conf`	Addressing service interruptions in memory with thread-to-rank assignment. ISPASS Manjunath Shevgoor, Rajeev Balasubramonian, Niladrish Chatterjee, Jung-Sik Kim
2016	—	`conf`	CLARA: Circular Linked-List Auto and Self Refresh Architecture. MEMSYS Aditya Agrawal, Mike O'Connor, Evgeny Bolotin, Niladrish Chatterjee, Joel S. Emer, Stephen W. Keckler
2016	A*	`conf`	Transparent Offloading and Mapping (TOM): Enabling Programmer-Transparent Near-Data Processing in GPU Systems. ISCA Kevin Hsieh, Eiman Ebrahimi, Gwangsun Kim, Niladrish Chatterjee, Mike O'Connor, Nandita Vijaykumar, Onur Mutlu, Stephen W. Keckler
2015	—	`conf`	Anatomy of GPU Memory System for Multi-Application Execution. MEMSYS Adwait Jog, Onur Kayiran, Tuba Kesten, Ashutosh Pattnaik, Evgeny Bolotin, Niladrish Chatterjee, Stephen W. Keckler, Mahmut T. Kandemir, Chita R. Das
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	—	`conf`	Why graphics programmers need to know about DRAM. SIGGRAPH Courses Erik Brunvand, Niladrish Chatterjee, Daniel M. Kopta
2013	—	`—`	Designing Efficient Memory Schedulers for Future Systems. Niladrish Chatterjee
2013	A*	`conf`	Quantifying the relationship between the power delivery network and architectural policies in a 3D-stacked memory device. MICRO Manjunath Shevgoor, Jung-Sik Kim, Niladrish Chatterjee, Rajeev Balasubramonian, Al Davis, Aniruddha N. Udipi
2012	A*	`conf`	Leveraging Heterogeneity in DRAM Main Memories to Accelerate Critical Word Access. MICRO Niladrish Chatterjee, Manjunath Shevgoor, Rajeev Balasubramonian, Al Davis, Zhen Fang, Ramesh Illikkal, Ravi R. Iyer
2012	A*	`conf`	Staged Reads: Mitigating the impact of DRAM writes on DRAM reads. HPCA Niladrish Chatterjee, Naveen Muralimanohar, Rajeev Balasubramonian, Al Davis, Norman P. Jouppi
2010	A*	`conf`	Micro-pages: increasing DRAM efficiency with locality-aware data placement. ASPLOS Kshitij Sudan, Niladrish Chatterjee, David W. Nellans, Manu Awasthi, Rajeev Balasubramonian, Al Davis
2010	A*	`conf`	Rethinking DRAM design and organization for energy-constrained multi-cores. ISCA Aniruddha N. Udipi, Naveen Muralimanohar, Niladrish Chatterjee, Rajeev Balasubramonian, Al Davis, Norman P. Jouppi