Sparsh Mittal

7.2k total citations · 2 hit papers
145 papers, 4.8k citations indexed

About

Sparsh Mittal is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Sparsh Mittal has authored 145 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Hardware and Architecture, 70 papers in Electrical and Electronic Engineering and 59 papers in Computer Networks and Communications. Recurrent topics in Sparsh Mittal's work include Parallel Computing and Optimization Techniques (63 papers), Advanced Data Storage Technologies (43 papers) and Advanced Memory and Neural Computing (31 papers). Sparsh Mittal is often cited by papers focused on Parallel Computing and Optimization Techniques (63 papers), Advanced Data Storage Technologies (43 papers) and Advanced Memory and Neural Computing (31 papers). Sparsh Mittal collaborates with scholars based in India, United States and Malaysia. Sparsh Mittal's co-authors include Jeffrey S. Vetter, Srishti Srivastava, Dong Li, Brajesh Kumar Kaushik, Yuan Xie, Matt Poremba, Dong Li, Farooq Ahmad Khanday, Zhao Zhang and Mubashir A. Kharadi and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and ACM Computing Surveys.

In The Last Decade

Sparsh Mittal

132 papers receiving 4.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Survey of Techniques for Approximate Computing

2016 738 citations Sparsh Mittal ACM Computing Surveys profile →
A Survey of CPU-GPU Heterogeneous Computing Techniques

2015 314 citations Sparsh Mittal, Jeffrey S. Vetter ACM Computing Surveys profile →

Peers

Countries citing papers authored by Sparsh Mittal

Since Specialization

Citations

This map shows the geographic impact of Sparsh Mittal's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sparsh Mittal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sparsh Mittal more than expected).

Fields of papers citing papers by Sparsh Mittal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sparsh Mittal. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sparsh Mittal. The network helps show where Sparsh Mittal may publish in the future.

Co-authorship network of co-authors of Sparsh Mittal

This figure shows the co-authorship network connecting the top 25 collaborators of Sparsh Mittal. A scholar is included among the top collaborators of Sparsh Mittal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sparsh Mittal. Sparsh Mittal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Novel hybrid probabilistic–statistical error metrics for approximate adders 2025 ·Journal of Systems Architecture ·(unknown), Sparsh Mittal, Urbi Chatterjee	0
2	GRIZAL: Generative Prior-guided Zero-Shot Temporal Action Localization 2024 ·(unknown), (unknown), (unknown), Sparsh Mittal	1
3	Security Implications of Approximation: A Study of Trojan Attacks on Approximate Adders and Multipliers 2024 ·(unknown), Sparsh Mittal, (unknown), Rekha S. Singhal	0
4	VADF: V ersatile A pproximate D ata F ormats for Energy-Efficient Computing 2023 ·ACM Transactions on Embedded Computing Systems ·(unknown), Sparsh Mittal, (unknown), Rekha Singhal, Urbi Chatterjee	1
5	ClarifyNet: A high-pass and low-pass filtering based CNN for single image dehazing 2022 ·Journal of Systems Architecture ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), C. Krishna Mohan, Sparsh Mittal	19
6	A Survey of Deep Learning on CPUs: Opportunities and Co-Optimizations 2021 ·IEEE Transactions on Neural Networks and Learning Systems ·Sparsh Mittal, (unknown), Sreenivas Subramoney	37
7	A survey on hardware security of DNN models and accelerators 2021 ·Journal of Systems Architecture ·Sparsh Mittal, (unknown), Srishti Srivastava	26
8	A Survey on optimized implementation of deep learning models on the NVIDIA Jetson platform 2019 ·Journal of Systems Architecture ·Sparsh Mittal	196
9	A survey of techniques for improving efficiency of mobile web browsing 2019 ·Concurrency and Computation Practice and Experience ·Sparsh Mittal, Venkat Mattela	4
10	A survey of FPGA-based accelerators for convolutional neural networks 2018 ·Neural Computing and Applications ·Sparsh Mittal	249
11	A survey of spintronic architectures for processing-in-memory and neural networks 2018 ·Journal of Systems Architecture ·(unknown), Sparsh Mittal	44
12	DESTINY: A Comprehensive Tool with 3D and Multi-Level Cell Memory Modeling Capability 2017 ·Journal of Low Power Electronics and Applications ·Sparsh Mittal, Rujia Wang, Jeffrey S. Vetter	49
13	A Survey of Techniques for Cache Partitioning in Multicore Processors 2017 ·ACM Computing Surveys ·Sparsh Mittal	34
14	A Survey of Techniques for Architecting and Managing GPU Register File 2016 ·IEEE Transactions on Parallel and Distributed Systems ·Sparsh Mittal	29
15	A Survey of Techniques for Approximate Computing breakdown → 2016 ·ACM Computing Surveys ·Sparsh Mittal	738
16	A survey of techniques for architecting TLBs 2016 ·Concurrency and Computation Practice and Experience ·Sparsh Mittal	21
17	2015 ·ACM Computing Surveys ·Sparsh Mittal, Jeffrey S. Vetter, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown)	3
18	A Survey of Techniques for Modeling and Improving Reliability of Computing Systems 2015 ·IEEE Transactions on Parallel and Distributed Systems ·Sparsh Mittal, Jeffrey S. Vetter	66
19	A Survey Of Architectural Approaches for Data Compression in Cache and Main Memory Systems 2015 ·IEEE Transactions on Parallel and Distributed Systems ·Sparsh Mittal, Jeffrey S. Vetter	74
20	AYUSH: A Technique for Extending Lifetime of SRAM-NVM Hybrid Caches 2014 ·IEEE Computer Architecture Letters ·Sparsh Mittal, Jeffrey S. Vetter	31

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact