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ORCIDSaugata Ghose
- > Home > Persons > Saugata Ghose
Publications
- 2023
[j20]Geraldo F. Oliveira
, Saugata Ghose, Juan Gómez-Luna, Amirali Boroumand, Alexis Savery, Sonny Rao, Salman Qazi, Gwendal Grignou, Rahul Thakur, Eric Shiu, Onur Mutlu:
Extending Memory Capacity in Modern Consumer Systems With Emerging Non-Volatile Memory: Experimental Analysis and Characterization Using the Intel Optane SSD. IEEE Access 11: 105843-105871 (2023)- 2022
- [j18]Geraldo F. Oliveira, Juan Gómez-Luna, Saugata Ghose, Amirali Boroumand, Onur Mutlu:
Accelerating Neural Network Inference With Processing-in-DRAM: From the Edge to the Cloud. IEEE Micro 42(6): 25-38 (2022) - [c46]Amirali Boroumand, Saugata Ghose, Geraldo F. Oliveira, Onur Mutlu:
Polynesia: Enabling High-Performance and Energy-Efficient Hybrid Transactional/Analytical Databases with Hardware/Software Co-Design. ICDE 2022: 2997-3011 - [c42]Geraldo F. Oliveira, Amirali Boroumand, Saugata Ghose, Juan Gómez-Luna, Onur Mutlu:
Heterogeneous Data-Centric Architectures for Modern Data-Intensive Applications: Case Studies in Machine Learning and Databases. ISVLSI 2022: 273-278 - [i53]Amirali Boroumand, Saugata Ghose, Geraldo F. Oliveira, Onur Mutlu:
Enabling High-Performance and Energy-Efficient Hybrid Transactional/Analytical Databases with Hardware/Software Cooperation. CoRR abs/2204.11275 (2022) - [i50]Geraldo F. Oliveira, Amirali Boroumand, Saugata Ghose, Juan Gómez-Luna, Onur Mutlu:
Heterogeneous Data-Centric Architectures for Modern Data-Intensive Applications: Case Studies in Machine Learning and Databases. CoRR abs/2205.14664 (2022) - [i49]Geraldo F. Oliveira, Juan Gómez-Luna, Saugata Ghose, Amirali Boroumand, Onur Mutlu:
Accelerating Neural Network Inference with Processing-in-DRAM: From the Edge to the Cloud. CoRR abs/2209.08938 (2022) - 2021
- [c41]Amirali Boroumand, Saugata Ghose, Berkin Akin, Ravi Narayanaswami, Geraldo F. Oliveira, Xiaoyu Ma, Eric Shiu, Onur Mutlu:
Google Neural Network Models for Edge Devices: Analyzing and Mitigating Machine Learning Inference Bottlenecks. PACT 2021: 159-172 - [i47]Amirali Boroumand, Saugata Ghose, Berkin Akin, Ravi Narayanaswami, Geraldo F. Oliveira, Xiaoyu Ma, Eric Shiu, Onur Mutlu:
Mitigating Edge Machine Learning Inference Bottlenecks: An Empirical Study on Accelerating Google Edge Models. CoRR abs/2103.00768 (2021) - [i46]Amirali Boroumand, Saugata Ghose, Geraldo F. Oliveira, Onur Mutlu:
Polynesia: Enabling Effective Hybrid Transactional/Analytical Databases with Specialized Hardware/Software Co-Design. CoRR abs/2103.00798 (2021) - [i42]Amirali Boroumand, Saugata Ghose, Berkin Akin, Ravi Narayanaswami, Geraldo F. Oliveira, Xiaoyu Ma, Eric Shiu, Onur Mutlu:
Google Neural Network Models for Edge Devices: Analyzing and Mitigating Machine Learning Inference Bottlenecks. CoRR abs/2109.14320 (2021) - [i41]Geraldo F. Oliveira, Saugata Ghose, Juan Gómez-Luna, Amirali Boroumand, Alexis Savery, Sonny Rao, Salman Qazi, Gwendal Grignou, Rahul Thakur, Eric Shiu, Onur Mutlu:
Extending Memory Capacity in Consumer Devices with Emerging Non-Volatile Memory: An Experimental Study. CoRR abs/2111.02325 (2021) - 2020
- [c33]Damla Senol Cali, Gurpreet S. Kalsi, Zülal Bingöl, Can Firtina, Lavanya Subramanian, Jeremie S. Kim, Rachata Ausavarungnirun, Mohammed Alser, Juan Gómez-Luna, Amirali Boroumand, Anant Nori, Allison Scibisz, Sreenivas Subramoney, Can Alkan, Saugata Ghose, Onur Mutlu:
GenASM: A High-Performance, Low-Power Approximate String Matching Acceleration Framework for Genome Sequence Analysis. MICRO 2020: 951-966 - [i38]Damla Senol Cali, Gurpreet S. Kalsi, Zülal Bingöl, Can Firtina, Lavanya Subramanian, Jeremie S. Kim, Rachata Ausavarungnirun, Mohammed Alser, Juan Gómez-Luna, Amirali Boroumand, Anant Nori, Allison Scibisz, Sreenivas Subramoney, Can Alkan, Saugata Ghose, Onur Mutlu:
GenASM: A High-Performance, Low-Power Approximate String Matching Acceleration Framework for Genome Sequence Analysis. CoRR abs/2009.07692 (2020) - 2019
- [j14]Saugata Ghose, Amirali Boroumand, Jeremie S. Kim, Juan Gómez-Luna, Onur Mutlu:
Processing-in-memory: A workload-driven perspective. IBM J. Res. Dev. 63(6): 3:1-3:19 (2019) - [c29]Amirali Boroumand, Saugata Ghose, Minesh Patel, Hasan Hassan, Brandon Lucia, Rachata Ausavarungnirun, Kevin Hsieh, Nastaran Hajinazar, Krishna T. Malladi, Hongzhong Zheng, Onur Mutlu:
CoNDA: efficient cache coherence support for near-data accelerators. ISCA 2019: 629-642 - [i30]Saugata Ghose, Amirali Boroumand, Jeremie S. Kim, Juan Gómez-Luna, Onur Mutlu:
A Workload and Programming Ease Driven Perspective of Processing-in-Memory. CoRR abs/1907.12947 (2019) - 2018
- [c27]Amirali Boroumand, Saugata Ghose, Youngsok Kim, Rachata Ausavarungnirun, Eric Shiu, Rahul Thakur, Daehyun Kim, Aki Kuusela, Allan Knies, Parthasarathy Ranganathan, Onur Mutlu:
Google Workloads for Consumer Devices: Mitigating Data Movement Bottlenecks. ASPLOS 2018: 316-331 - [i29]Saugata Ghose, Kevin Hsieh, Amirali Boroumand, Rachata Ausavarungnirun, Onur Mutlu:
Enabling the Adoption of Processing-in-Memory: Challenges, Mechanisms, Future Research Directions. CoRR abs/1802.00320 (2018) - 2017
- [j7]Amirali Boroumand, Saugata Ghose, Minesh Patel, Hasan Hassan, Brandon Lucia, Kevin Hsieh, Krishna T. Malladi, Hongzhong Zheng, Onur Mutlu:
LazyPIM: An Efficient Cache Coherence Mechanism for Processing-in-Memory. IEEE Comput. Archit. Lett. 16(1): 46-50 (2017) - [i10]Amirali Boroumand, Saugata Ghose, Minesh Patel, Hasan Hassan, Brandon Lucia, Nastaran Hajinazar, Kevin Hsieh, Krishna T. Malladi, Hongzhong Zheng, Onur Mutlu:
LazyPIM: Efficient Support for Cache Coherence in Processing-in-Memory Architectures. CoRR abs/1706.03162 (2017) - [i8]Yixin Luo, Saugata Ghose, Tianshi Li, Sriram Govindan, Bikash Sharma, Bryan Kelly, Amirali Boroumand, Onur Mutlu:
Using ECC DRAM to Adaptively Increase Memory Capacity. CoRR abs/1706.08870 (2017) - 2016
- [c10]Kevin Hsieh, Samira Manabi Khan, Nandita Vijaykumar, Kevin K. Chang, Amirali Boroumand, Saugata Ghose, Onur Mutlu:
Accelerating pointer chasing in 3D-stacked memory: Challenges, mechanisms, evaluation. ICCD 2016: 25-32
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