Niladrish Chatterjee

Publication Activity (10 Years)

Years Active: 2010-2022
Publications (10 Years): 25

Top Topics

Data Processing

Irregularly Shaped

Backpropagation Algorithm

Top Venues

Publications

Yaosheng Fu, Evgeny Bolotin, Niladrish Chatterjee, David W. Nellans, Stephen W. Keckler
GPU Domain Specialization via Composable On-Package Architecture. ACM Trans. Archit. Code Optim. 19 (1) (2022)
Mike O'Connor, Donghyuk Lee, Niladrish Chatterjee, Michael B. Sullivan, Stephen W. Keckler
Saving PAM4 Bus Energy with SMOREs: Sparse Multi-level Opportunistic Restricted Encodings. HPCA (2022)
Atefeh Mehrabi, Donghyuk Lee, Niladrish Chatterjee, Daniel J. Sorin, Benjamin C. Lee, Mike O'Connor
Learning Sparse Matrix Row Permutations for Efficient SpMM on GPU Architectures. ISPASS (2021)
Yaosheng Fu, Evgeny Bolotin, Niladrish Chatterjee, David W. Nellans, Stephen W. Keckler
GPU Domain Specialization via Composable On-Package Architecture. CoRR (2021)
Oreste Villa, Daniel Lustig, Zi Yan, Evgeny Bolotin, Yaosheng Fu, Niladrish Chatterjee, Nan Jiang, David W. Nellans
Need for Speed: Experiences Building a Trustworthy System-Level GPU Simulator. HPCA (2021)
Sangkug Lym, Donghyuk Lee, Mike O'Connor, Niladrish Chatterjee, Mattan Erez
DeLTA: GPU Performance Model for Deep Learning Applications with In-Depth Memory System Traffic Analysis. ISPASS (2019)
Daichi Fujiki, Niladrish Chatterjee, Donghyuk Lee, Mike O'Connor
Near-memory data transformation for efficient sparse matrix multi-vector multiplication. SC (2019)
Sangkug Lym, Donghyuk Lee, Mike O'Connor, Niladrish Chatterjee, Mattan Erez
DeLTA: GPU Performance Model for Deep Learning Applications with In-depth Memory System Traffic Analysis. CoRR (2019)
Kevin K. Chang, Abdullah Giray Yaglikçi, Saugata Ghose, Aditya Agrawal, Niladrish Chatterjee, Abhijith Kashyap, Donghyuk Lee, Mike O'Connor, Hasan Hassan, Onur Mutlu
Voltron: Understanding and Exploiting the Voltage-Latency-Reliability Trade-Offs in Modern DRAM Chips to Improve Energy Efficiency. CoRR (2018)
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
What Your DRAM Power Models Are Not Telling You: Lessons from a Detailed Experimental Study. CoRR (2018)
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
What Your DRAM Power Models Are Not Telling You: Lessons from a Detailed Experimental Study. Proc. ACM Meas. Anal. Comput. Syst. 2 (3) (2018)
Donghyuk Lee, Mike O'Connor, Niladrish Chatterjee
Reducing Data Transfer Energy by Exploiting Similarity within a Data Transaction. HPCA (2018)
Minsoo Rhu, Mike O'Connor, Niladrish Chatterjee, Jeff Pool, Youngeun Kwon, Stephen W. Keckler
Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks. HPCA (2018)
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
What Your DRAM Power Models Are Not Telling You: Lessons from a Detailed Experimental Study. SIGMETRICS (Abstracts) (2018)
Kevin K. Chang, Abdullah Giray Yaglikçi, Saugata Ghose, Aditya Agrawal, Niladrish Chatterjee, Abhijith Kashyap, Donghyuk Lee, Mike O'Connor, Hasan Hassan, Onur Mutlu
Understanding Reduced-Voltage Operation in Modern DRAM Chips: Characterization, Analysis, and Mechanisms. CoRR (2017)
Kevin K. Chang, Abdullah Giray Yaglikçi, Saugata Ghose, Aditya Agrawal, Niladrish Chatterjee, Abhijith Kashyap, Donghyuk Lee, Mike O'Connor, Hasan Hassan, Onur Mutlu
Understanding Reduced-Voltage Operation in Modern DRAM Devices: Experimental Characterization, Analysis, and Mechanisms. Proc. ACM Meas. Anal. Comput. Syst. 1 (1) (2017)
Gwangsun Kim, Niladrish Chatterjee, Mike O'Connor, Kevin Hsieh
Toward standardized near-data processing with unrestricted data placement for GPUs. SC (2017)
Mike O'Connor, Niladrish Chatterjee, Donghyuk Lee, John M. Wilson, Aditya Agrawal, Stephen W. Keckler, William J. Dally
Fine-grained DRAM: energy-efficient DRAM for extreme bandwidth systems. MICRO (2017)
Minsoo Rhu, Mike O'Connor, Niladrish Chatterjee, Jeff Pool, Stephen W. Keckler
Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks. CoRR (2017)
Niladrish Chatterjee, Mike O'Connor, Donghyuk Lee, Daniel R. Johnson, Stephen W. Keckler, Minsoo Rhu, William J. Dally
Architecting an Energy-Efficient DRAM System for GPUs. HPCA (2017)
Kevin K. Chang, Abdullah Giray Yaglikçi, Saugata Ghose, Aditya Agrawal, Niladrish Chatterjee, Abhijith Kashyap, Donghyuk Lee, Mike O'Connor, Hasan Hassan, Onur Mutlu
Understanding Reduced-Voltage Operation in Modern DRAM Devices: Experimental Characterization, Analysis, and Mechanisms. SIGMETRICS (Abstracts) (2017)
Aditya Agrawal, Mike O'Connor, Evgeny Bolotin, Niladrish Chatterjee, Joel S. Emer, Stephen W. Keckler
CLARA: Circular Linked-List Auto and Self Refresh Architecture. MEMSYS (2016)
Manjunath Shevgoor, Rajeev Balasubramonian, Niladrish Chatterjee, Jung-Sik Kim
Addressing service interruptions in memory with thread-to-rank assignment. ISPASS (2016)
Kevin Hsieh, Eiman Ebrahimi, Gwangsun Kim, Niladrish Chatterjee, Mike O'Connor, Nandita Vijaykumar, Onur Mutlu, Stephen W. Keckler
Transparent Offloading and Mapping (TOM): Enabling Programmer-Transparent Near-Data Processing in GPU Systems. ISCA (2016)
Adwait Jog, Onur Kayiran, Tuba Kesten, Ashutosh Pattnaik, Evgeny Bolotin, Niladrish Chatterjee, Stephen W. Keckler, Mahmut T. Kandemir, Chita R. Das
Anatomy of GPU Memory System for Multi-Application Execution. MEMSYS (2015)
Niladrish Chatterjee, Mike O'Connor, Gabriel H. Loh, Nuwan Jayasena, Rajeev Balasubramonian
Managing DRAM Latency Divergence in Irregular GPGPU Applications. SC (2014)
Erik Brunvand, Niladrish Chatterjee, Daniel Kopta
Why graphics programmers need to know about DRAM. SIGGRAPH Courses (2014)
Manjunath Shevgoor, Jung-Sik Kim, Niladrish Chatterjee, Rajeev Balasubramonian, Al Davis, Aniruddha N. Udipi
Quantifying the relationship between the power delivery network and architectural policies in a 3D-stacked memory device. MICRO (2013)
Niladrish Chatterjee, Naveen Muralimanohar, Rajeev Balasubramonian, Al Davis, Norman P. Jouppi
Staged Reads: Mitigating the impact of DRAM writes on DRAM reads. HPCA (2012)
Niladrish Chatterjee, Manjunath Shevgoor, Rajeev Balasubramonian, Al Davis, Zhen Fang, Ramesh Illikkal, Ravi R. Iyer
Leveraging Heterogeneity in DRAM Main Memories to Accelerate Critical Word Access. MICRO (2012)
Kshitij Sudan, Niladrish Chatterjee, David W. Nellans, Manu Awasthi, Rajeev Balasubramonian, Al Davis
Micro-pages: increasing DRAM efficiency with locality-aware data placement. ASPLOS (2010)
Aniruddha N. Udipi, Naveen Muralimanohar, Niladrish Chatterjee, Rajeev Balasubramonian, Al Davis, Norman P. Jouppi
Rethinking DRAM design and organization for energy-constrained multi-cores. ISCA (2010)