Nil Chatterjee

Niladrish Chatterjee

Sr. Research Scientist @ NVIDIA

           

I am a computer architect in NVIDIA Research. My research focuses on realizing energy-efficient, high-performance memory and processor architectures that will power future supercomputers and artificially intelligent machines. I received my PhD in computer engineering from the University of Utah under the guidance of Dr. Rajeev Balasubramonian in 2013. I interned at AMD Research and HP Labs in the spring and fall of 2012, respectively, and developed EDA tools for Atrenta (now Synopsis) for a year in India after receiving my B.E. degree from Jadavpur University (2007).

Granted Patents

US11789649B2 Combined on-package and off-package memory system
US11609879B2 Techniques for configuring parallel processors for different application domains
10,468,093 Systems and methods for dynamic random access memory (DRAM) sub-channels (issued 11/05/19)
9,910,605 Page migration in a hybrid memory device (issued 03/06/18)
9,846,550 Memory access methods and apparatus (divisional of 9,361,955) (issued 12/19/17)
9,535,831 Page migration in a 3D stacked hybrid memory (issued 01/03/17)
9,489,321 Scheduling memory accesses using an efficient row burst value (issued 11/08/16)
9,361,955 Memory Access Methods and Apparatus (issued 06/07/16)

Publications

Most publications are copyrighted by the IEEE or the ACM. Please respect these copyrights. Typically, personal or classroom use is granted; papers cannot be duplicated for commercial purposes.

HPCA-2022 Saving PAM4 Bus Energy with SMOREs: Sparse Multi-level Opportunistic Restricted Encodings
Mike O'Connor, Donghyuk Lee, Niladrish Chatterjee, Mike Sullivan, Stephen W. Keckler.
To appear at the 28th IEEE International Symposium on High Performance Computer Architecture (HPCA), 2022.

ACM TACO GPU Domain Specialization via Composable On-Package Architecture
Yaosheng Fu, Evgeny Bolotin, Niladrish Chatterjee, David Nellans, Stephen W. Keckler.
ACM Transactions on Architecture and Code Optimization (ACM TACO), Dec, 2021.
Coverage on The Next Platform

HPCA-2021 Need for Speed: Experiences Building a Trustworthy System-Level GPU Simulator
Oreste Villa, Daniel Lustig, Zi Yan, Evgeny Bolotin, Yaosheng Fu, Niladrish Chatterjee, Nan Jiang, David Nellans.
27th IEEE International Symposium on High Performance Computer Architecture (HPCA), Seoul, S. Korea, 2021.

ISPASS-2021 Learning Sparse Matrix Row Permutations for Efficient SpMM on GPU Architectures
Atefeh Mehrabi, Donghyuk Lee, Niladrish Chatterjee, Daniel J. Sorin, Benjamin C. Lee, Mike O'Connor.
22nd IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), 2021.

SC-2019 Near-Memory Data Transformation for Efficient Sparse Matrix Multi-Vector Multiplication
Daichi Fujiki, Niladrish Chatterjee, Donghyuk Lee, Mike O'Connor.
32nd IEEE/ACM International Conference for High Performance Computing, Networking, Storage, and Analysis (SC), Denver, USA, 2019.

ISPASS-2019 DeLTA: GPU Performance Model for Deep Learning Applications with In-Depth Memory System Traffic Analysis
Sangkug Lym, Donghyuk Lee, Mike O'Connor, Niladrish Chatterjee, Mattan Erez.
20th IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), Madison, USA, 2019.

SIGMETRICS-2018 What Your DRAM Power Models are Not Telling You: Lessons from a Detailed Experimental Study
Saugata Ghose, Abdulla Giray Yaglicki, Raghav Gupta, Donghyuk Lee, Kais Kudrolli, William X. Liu, Hasan Hassan, Kevin K. Chang, Niladrish Chatterjee, Aditya Agrawal, Mike O'Connor, Onur Mutlu.
Proceedings of the ACM on Measurement and Analysis of Computer Systems (SIGMETRICS), Irvine, USA, 2018.

HPCA-2018 Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks  
Minsoo Rhu, Mike O'Connor, Niladrish Chatterjee, Jeff Pool, Youngeun Kwon, Stephen W. Keckler.
24th IEEE International Symposium on Higher Performance Computer Architecture (HPCA), Vienna, Austria, 2018.

HPCA-2018 Reducing Data Transfer Energy by Exploiting Similarity within a Data Transaction   
Donghyuk Lee, Mike O'Connor, Niladrish Chatterjee.
24th IEEE International Symposium on Higher Performance Computer Architecture (HPCA), Vienna, Austria, 2018.
Best Paper Nominee

MICRO-2017 Fine-Grained DRAM: Energy-Efficient DRAM for Extreme Bandwidth Systems  
Mike O'Connor*, Niladrish Chatterjee*, Donghyuk Lee, John Wilson, Aditya Agrawal, Stephen W. Keckler, William J. Dally.
50th IEEE/ACM International Symposium on Microarchitecture (MICRO), Boston, USA, 2017.
*equal contributors

SC-2017 Toward Standardized Near-Data Processing with Unrestricted Data Placement for GPUs
Gwangsun Kim, Niladrish Chatterjee, Mike O'Connor, Kevin Hsieh.
30th IEEE/ACM International Conference for High Performance Computing, Networking, Storage, and Analysis (SC), Denver, USA, 2017.

SIGMETRICS-2017 Understanding Reduced-Voltage Operation in Modern DRAM Devices: Experimental Characterization, Analysis, and Mechanisms
Kevin K. Chang, Abdulla Giray Yaglikci, Saugata Ghose, Aditya Agrawal, Niladrish Chatterjee, Abhijith Kashyap, Donghyuk Lee, Mike O'Connor, Hassan Hassan, Onur Mutlu.
Proceedings of the ACM on Measurement and Analysis of Computer Systems (SIGMETRICS), Champaign-Urbana, USA, 2017.

HPCA-2017 Architecting an Energy-Efficient DRAM System For GPUs  
Niladrish Chatterjee, Mike O'Connor, Donghyuk Lee, Daniel R. Johnson, Stephen W. Keckler, Minsoo Rhu, William J. Dally.
23rd IEEE International Symposium on Higher Performance Computer Architecture (HPCA), Austin, USA, 2017.
Coverage on The Next Platform

ISCA-2016 Transparent Offloading and Mapping (TOM): Enabling Programmer-Transparent Near-Data Processing in GPU Systems
Kevin Hsieh, Eiman Ebrahimi, Gwangsun Kim, Niladrish Chatterjee, Mike O'Connor, Nandita Vijaykumar, Onur Mutlu, Stephen W. Keckler.
43rd ACM/IEEE International Symposium on Computer Architecture (ISCA), Seoul, S. Korea, 2016.

ISPASS-2016 Addressing Service Interruptions in Memory with Thread-to-Rank Assignment
Manjunath Shevgoor, Rajeev Balasubramonian, Niladrish Chatterjee, Jung-Sik Kim.
17th IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), Uppsala, Sweden, 2016.
Best Paper Award

MEMSYS-2016 CLARA: Circular Linked-List Refresh Architecture
Aditya Agrawal, Mike O'Connor, Evgeny Bolotin, Niladrish Chatterjee, Joel Emer, Stephen W. Keckler
International Symposium on Memory Systems (MEMSYS). Washington D.C., USA, 2016.

MEMSYS-2015 Anatomy of GPU Memory System for Multi-Application Execution
Adwait Jog, Onur Kayiran, Tuba Kesten, Ashutosh Pattnaik, Evgeny Bolotin, Niladrish Chatterjee, Stephen W. Keckler, Mahmut T. Kandemir, Chita R. Das
International Symposium on Memory Systems (MEMSYS). Washington D.C., USA, 2015.

SC-2014 Managing DRAM Latency Divergence in Irregular GPGPU Applications  
Niladrish Chatterjee, Mike O'Connor, Gabriel H. Loh, Nuwan Jayasena, Rajeev Balasubramonian
27th IEEE/ACM International Conference for High Performance Computing, Networking, Storage, and Analysis (SC), New Orleans, USA, 2014.

MICRO-2013 Quantifying the Relationship between the Power-Delivery Network and Architectural Policies in 3-D Stacked Memory Devices
Manjunath Shevgoor, Jung-Sik Kim, Niladrish Chatterjee, Rajeev Balasubramonian, Al Davis, Aniruddha Udipi
46th ACM/IEEE International Symposium on Microarchitecture (MICRO). Davis, USA, 2013.

MICRO-2012 Leveraging Heterogeneity in DRAM Main Memories to Accelerate Critical Word Access   
Niladrish Chatterjee, Manjunath Shevgoor, Rajeev Balasubramonian, Al Davis, Zhen Fang, Ramesh Illikkal, Ravi Iyer
45th ACM/IEEE International Symposium on Microarchitecture (MICRO). Vancouver, Canada, 2012.

HPCA-2012 Staged Reads: Mitigating the Impact of DRAM Writes on DRAM Reads  
Niladrish Chatterjee, Rajeev Balasubramonian, Naveen Muralimanohar, Al Davis, Norm Jouppi
18th International Symposium on High Performance Computer Architecture (HPCA). New Orleans, USA, 2012.

ASPLOS-2010 Micro-pages: Increasing DRAM Efficiency with Locality-Aware Data Placement
Kshitij Sudan, Niladrish Chatterjee, Dave Nellans, Manu Awasthi, Rajeev Balasubramonian, Al Davis
15th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), Pittsburgh, USA, 2010.

ISCA-2010 Rethinking DRAM Design and Organization for Energy-Constrained Multi-cores
Aniruddha Udipi, Naveen Muralimanohar, Niladrish Chatterjee, Rajeev Balasubramonian, Al Davis, Norm Jouppi
37th ACM/IEEE International Symposium on Computer Architecture (ISCA). St. Malo, France, 2010.

Tutorials, Workshops, and Technical Reports

SIGGRAPH'14 Why Graphics Programmers Need to Know About DRAM
Erik Brunvand, Daniel Kopta, Niladrish Chatterjee
Course at the 41st International Conference and Exhibition on Computer Graphics and Interactive Techniques, Vancouver, Canada, 2014.

WACAS-2014 Exploring a Brink-of-Failure Memory Controller to Design an Approximate Memory System
Meysam Taassori, Niladrish Chatterjee, Ali Shafiee, Rajeev Balasubramonian
1st Workshop on Approximate Computing Across the System Stack (WACAS),held in conjunction with ASPLOS-2014, Salt Lake City, USA, 2014.

WEED-2013 Understanding the Role of the Power Delivery Network in 3D-Stacked Memory Devices
Manjunath Shevgoor, Jung-Sik Kim, Niladrish Chatterjee, Rajeev Balasubramonian
5th Workshop on Energy-Efficient Design (WEED), held in conjunction with ISCA-2013, Tel Aviv, Israel 2013.

UUCS-12-002 USIMM: the Utah Simulated Memory Module. A Simulation Infrastructure for the JWAC Memory Scheduling Competition  
Niladrish Chatterjee, Rajeev Balasubramonian, Manjunath Shevgoor, Seth H. Pugsley, Aniruddha N. Udipi, Ali Shaifei, Manu Awasthi, Kshitij Sudan, Zeshan Chishti
University of Utah Technical Report, 2012.

UCAS-2009 Optimizing a Multi-Core Processor for Message Passing Workloads
Niladrish Chatterjee, Seth Pugsley, Josef Spjut, Rajeev Balasubramonian
5th Workshop on Unique Chips and Systems, held in conjunction with ISPASS-2009, Boston, USA, 2009.

Service

Conference Program Committee Member: HPCA 2019 HPCA 2018 IPDPS 2017 ICS 2016
Conference Review Committee Member: MICRO 2015 ISCA 2015 HPCA 2015
External Reviewer: HPG 2017 ISCA 2014 MICRO 2012 HPCA 2012
Journal Reviewer: ACM TACO