Sparsh Mittal

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 113

Top Venues

CoRR

J. Syst. Archit.

Concurr. Comput. Pract. Exp.

ACM Comput. Surv.

Publications

Maruthi Seshidhar Inukonda, Krishna Prashanth Thummanapelly, Bheemarjuna Reddy Tamma, Sparsh Mittal
TEFAR: An Efficient Transparent Finer-Grained Encryption of Internet Access Artifacts. COMSNETS (2024)
Vandan Gorade, Sparsh Mittal, Debesh Jha, Rekha Singhal, Ulas Bagci
Harmonized Spatial and Spectral Learning for Robust and Generalized Medical Image Segmentation. CoRR (2024)
Dhruv Makwana, Gayatri Deshmukh, Onkar Susladkar, Sparsh Mittal, R. Sai Chandra Teja
LIVENet: A novel network for real-world low-light image denoising and enhancement. WACV (2024)
Vandan Gorade, Sparsh Mittal, Debesh Jha, Ulas Bagci
SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation. WACV (2024)
Vishesh Mishra, Sparsh Mittal, Nirbhay Mishra, Rekha Singhal
Security Implications of Approximation: A Study of Trojan Attacks on Approximate Adders and Multipliers. VLSID (2024)
Gayatri Deshmukh, Onkar Susladkar, Dhruv Makwana, Sparsh Mittal, R. Sai Chandra Teja
Textual Alchemy: CoFormer for Scene Text Understanding. WACV (2024)
Aaditi Kapre, Shruti Kunde, Sparsh Mittal, Rekha Singhal
RAxC: Reflexivity-based Approximate Computing techniques for efficient remote sensing. BigData (2023)
Ananya Mantravadi, Dhruv Makwana, R. Sai Chandra Teja, Sparsh Mittal, Rekha Singhal
Dilated Involutional Pyramid Network (DInPNet): A Novel Model for Printed Circuit Board (PCB) Components Classification. ISQED (2023)
Onkar Susladkar, Dhruv Makwana, Gayatri Deshmukh, Sparsh Mittal, R. Sai Chandra Teja, Rekha Singhal
TPFNet: A Novel Text In-painting Transformer for Text Removal. ICDAR (6) (2023)
Jens Domke, Emil Vatai, Balazs Gerofi, Yuetsu Kodama, Mohamed Wahib, Artur Podobas, Sparsh Mittal, Miquel Pericàs, Lingqi Zhang, Peng Chen, Aleksandr Drozd, Satoshi Matsuoka
At the Locus of Performance: Quantifying the Effects of Copious 3D-Stacked Cache on HPC Workloads. ACM Trans. Archit. Code Optim. 20 (4) (2023)
Dhruv Makwana, R. Sai Chandra Teja, Sparsh Mittal
PCBSegClassNet - A light-weight network for segmentation and classification of PCB component. Expert Syst. Appl. 225 (2023)
Vishesh Mishra, Sparsh Mittal, Neelofar Hassan, Rekha Singhal, Urbi Chatterjee
VADF: Versatile Approximate Data Formats for Energy-Efficient Computing. ACM Trans. Embed. Comput. Syst. 22 (5s) (2023)
Onkar Susladkar, Gayatri S. Deshmukh, Sparsh Mittal, R. Sai Chandra Teja, Rekha Singhal
LiBERTy: A Novel Model for Natural Language Understanding. AIMLSystems (2023)
Vishu Saxena, Yash Jain, Sparsh Mittal
Machine Learning and Polynomial Chaos models for Accurate Prediction of SET Pulse Current. ISVLSI (2023)
Sparsh Mittal, Srishti Srivastava, J. Phani Jayanth
A Survey of Deep Learning Techniques for Underwater Image Classification. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
Krishna Teja Chitty-Venkata, Sparsh Mittal, Murali Emani, Venkatram Vishwanath, Arun K. Somani
A survey of techniques for optimizing transformer inference. J. Syst. Archit. 144 (2023)
Aabid Amin Fida, Farooq Ahmad Khanday, Sparsh Mittal
An active memristor based rate-coded spiking neural network. Neurocomputing 533 (2023)
Yash Khare, Kumud Lakara, Sparsh Mittal, Arvind Kaushik, Rekha Singhal
SpotOn: A Gradient-based Targeted Data Poisoning Attack on Deep Neural Networks. ISQED (2023)
Vishesh Mishra, Sparsh Mittal, Rekha Singhal, Manoj Nambiar
Novel, Configurable Approximate Floating-point Multipliers for Error-Resilient Applications. ISQED (2023)
Vibhu, Sparsh Mittal, Vivek Kumar
Machine Learning-based model for Single Event Upset Current Prediction in 14nm FinFETs. VLSID (2023)
Maruthi Seshidhar Inukonda, Jatin Tarachandani, Imtiaz Ahmed, Bheemarjuna Reddy Tamma, Sparsh Mittal
ZETA: A Zero-Trust Security based Forensic-Ready Solution for Perimeter-less Enterprise Networks. ANTS (2023)
Vandan Gorade, Sparsh Mittal, Rekha Singhal
PaCL: Patient-aware contrastive learning through metadata refinement for generalized early disease diagnosis. Comput. Biol. Medicine 167 (2023)
Vandan Gorade, Sparsh Mittal, Debesh Jha, Ulas Bagci
SynergyNet: Bridging the Gap between Discrete and Continuous Representations for Precise Medical Image Segmentation. CoRR (2023)
Tushir Sahu, Vidhi Bhatt, R. Sai Chandra Teja, Sparsh Mittal, Nagesh Kumar S
SPEEDNet: Salient Pyramidal Enhancement Encoder-Decoder Network for Colonoscopy Images. CoRR (2023)
Maruthi Seshidhar Inukonda, Sai Harsha Kottapalli, Bheemarjuna Reddy Tamma, Sparsh Mittal
FENCE: A Real-Time Privacy-Preserving Solution for Enterprise Internet Forensics at Scale. COMSNETS (2023)
Krishna Teja Chitty-Venkata, Sparsh Mittal, Murali Emani, Venkatram Vishwanath, Arun K. Somani
A Survey of Techniques for Optimizing Transformer Inference. CoRR (2023)
Vandan Gorade, Sparsh Mittal, Debesh Jha, Ulas Bagci
Rethinking Intermediate Layers design in Knowledge Distillation for Kidney and Liver Tumor Segmentation. CoRR (2023)
Onkar Susladkar, Gayatri Deshmukh, Dhruv Makwana, Sparsh Mittal, R. Sai Chandra Teja, Rekha Singhal
GAFNet: A Global Fourier Self Attention Based Novel Network for multi-modal downstream tasks. WACV (2023)
Maruthi Seshidhar Inukonda, Atharva Rajendra Karpate, Bheemarjuna Reddy Tamma, Sparsh Mittal, Praveen Tammana
NASCENT: A Non-Invasive Solution for Detecting Utilization of Servers in Bare-Metal Cloud. IEEE Access 10 (2022)
Sheel Sindhu Manohar, Sparsh Mittal, Hemangee K. Kapoor
CORIDOR: Using COherence and TempoRal LocalIty to Mitigate Read Disurbance ErrOR in STT-RAM Caches. ACM Trans. Embed. Comput. Syst. 21 (1) (2022)
Onkar Susladkar, Gayatri Deshmukh, Subhrajit Nag, Ananya Mantravadi, Dhruv Makwana, Sujitha Ravichandran, R. Sai Chandra Teja, Gajanan H. Chavhan, C. Krishna Mohan, Sparsh Mittal
ClarifyNet: A high-pass and low-pass filtering based CNN for single image dehazing. J. Syst. Archit. 132 (2022)
Dhruv Makwana, Subhrajit Nag, Onkar Susladkar, Gayatri Deshmukh, R. Sai Chandra Teja, Sparsh Mittal, C. Krishna Mohan
ACLNet: An Attention and Clustering-based Cloud Segmentation Network. CoRR (2022)
Onkar Susladkar, Dhruv Makwana, Gayatri Deshmukh, Sparsh Mittal, R. Sai Chandra Teja, Rekha Singhal
TPFNet: A Novel Text In-painting Transformer for Text Removal. CoRR (2022)
Vishesh Mishra, Sparsh Mittal, Saurabh Singh, Divy Pandey, Rekha Singhal
MEGA-MAC: A Merged Accumulation based Approximate MAC Unit for Error Resilient Applications. ACM Great Lakes Symposium on VLSI (2022)
Yash Jain, Vishu Saxena, Sparsh Mittal
Ensembling Deep Learning And CIELAB Color Space Model for Fire Detection from UAV images. AIMLSystems (2022)
Yash Khare, Kumud Lakara, Maruthi S. Inukonda, Sparsh Mittal, Mahesh Chandra, Arvind Kaushik
Design and Analysis of Novel Bit-flip Attacks and Defense Strategies for DNNs. DSC (2022)
Jens Domke, Emil Vatai, Balazs Gerofi, Yuetsu Kodama, Mohamed Wahib, Artur Podobas, Sparsh Mittal, Miquel Pericàs, Lingqi Zhang, Peng Chen, Aleksandr Drozd, Satoshi Matsuoka
At the Locus of Performance: A Case Study in Enhancing CPUs with Copious 3D-Stacked Cache. CoRR (2022)
Sudhir Kumar Rai, Ashish Mittal, Sparsh Mittal
A Node-Embedding Features Based Machine Learning Technique for Dynamic Malware Detection. DSC (2022)
Sparsh Mittal, Poonam Rajput, Sreenivas Subramoney
A Survey of Deep Learning on CPUs: Opportunities and Co-Optimizations. IEEE Trans. Neural Networks Learn. Syst. 33 (10) (2022)
Subhrajit Nag, Dhruv Makwana, R. Sai Chandra Teja, Sparsh Mittal, C. Krishna Mohan
WaferSegClassNet - A light-weight network for classification and segmentation of semiconductor wafer defects. Comput. Ind. 142 (2022)
Subhrajit Nag, Dhruv Makwana, R. Sai Chandra Teja, Sparsh Mittal, C. Krishna Mohan
WaferSegClassNet - A Light-weight Network for Classification and Segmentation of Semiconductor Wafer Defects. CoRR (2022)
Sparsh Mittal, Sumanth Umesh
A survey On hardware accelerators and optimization techniques for RNNs. J. Syst. Archit. 112 (2021)
Sparsh Mittal, Gaurav Verma, Brajesh Kumar Kaushik, Farooq Ahmad Khanday
A survey of SRAM-based in-memory computing techniques and applications. J. Syst. Archit. 119 (2021)
Sparsh Mittal, Vibhu
A survey of accelerator architectures for 3D convolution neural networks. J. Syst. Archit. 115 (2021)
Santanu Pattanayak, Subhrajit Nag, Sparsh Mittal
CURATING: A multi-objective based pruning technique for CNNs. J. Syst. Archit. 116 (2021)
Nivedita Shrivastava, Muhammad Abdullah Hanif, Sparsh Mittal, Smruti Ranjan Sarangi, Muhammad Shafique
A survey of hardware architectures for generative adversarial networks. J. Syst. Archit. 118 (2021)
Sparsh Mittal, Himanshi Gupta, Srishti Srivastava
A survey on hardware security of DNN models and accelerators. J. Syst. Archit. 117 (2021)
Sumanth Umesh, Sparsh Mittal
A survey of techniques for intermittent computing. J. Syst. Archit. 112 (2021)
Saksham Sharma, Vanshika V. Bhargava, Aditya Kumar Singh, Kshitij Bhardwaj, Sparsh Mittal
Leveraging Prediction Confidence For Versatile Optimizations to CNNs. AIMLSystems (2021)
Nandan Kumar Jha, Sparsh Mittal
Modeling Data Reuse in Deep Neural Networks by Taking Data-Types into Cognizance. IEEE Trans. Computers 70 (9) (2021)
Bhargav Achary Dandpati Kumar, R. Sai Chandra Teja, Sparsh Mittal, Biswabandan Panda, C. Krishna Mohan
Inferring DNN layer-types through a Hardware Performance Counters based Side Channel Attack. AIMLSystems (2021)
Srishti Srivastava, Sarthak Narayan, Sparsh Mittal
A survey of deep learning techniques for vehicle detection from UAV images. J. Syst. Archit. 117 (2021)
Rajat Saini, Nandan Kumar Jha, Bedanta Das, Sparsh Mittal, C. Krishna Mohan
ULSAM: Ultra-Lightweight Subspace Attention Module for Compact Convolutional Neural Networks. WACV (2020)
Nandan Kumar Jha, Shreyas Ravishankar, Sparsh Mittal, Arvind Kaushik, Dipan Mandal, Mahesh Chandra
DRACO: Co-Optimizing Hardware Utilization, and Performance of DNNs on Systolic Accelerator. CoRR (2020)
Poonam Rajput, Sparsh Mittal, Sarthak Narayan
Improving Accuracy and Efficiency of Object Detection Algorithms Using Multiscale Feature Aggregation Plugins. ANNPR (2020)
Rajat Saini, Nandan Kumar Jha, Bedanta Das, Sparsh Mittal, C. Krishna Mohan
ULSAM: Ultra-Lightweight Subspace Attention Module for Compact Convolutional Neural Networks. CoRR (2020)
Nandan Kumar Jha, Sparsh Mittal, Binod Kumar, Govardhan Mattela
DeepPeep: Exploiting Design Ramifications to Decipher the Architecture of Compact DNNs. CoRR (2020)
Nandan Kumar Jha, Rajat Saini, Subhrajit Nag, Sparsh Mittal
E2GC: Energy-efficient Group Convolution in Deep Neural Networks. VLSI Design (2020)
Nandan Kumar Jha, Sparsh Mittal
Modeling Data Reuse in Deep Neural Networks by Taking Data-Types into Cognizance. CoRR (2020)
Nandan Kumar Jha, Sparsh Mittal, Govardhan Mattela
The Ramifications of Making Deep Neural Networks Compact. CoRR (2020)
Nandan Kumar Jha, Sparsh Mittal, Binod Kumar, Govardhan Mattela
DeepPeep: Exploiting Design Ramifications to Decipher the Architecture of Compact DNNs. ACM J. Emerg. Technol. Comput. Syst. 17 (1) (2020)
Nandan Kumar Jha, Rajat Saini, Sparsh Mittal
On the Demystification of Knowledge Distillation: A Residual Network Perspective. CoRR (2020)
Poonam Rajput, Subhrajit Nag, Sparsh Mittal
Detecting Usage of Mobile Phones using Deep Learning Technique. GOODTECHS (2020)
Nandan Kumar Jha, Shreyas Ravishankar, Sparsh Mittal, Arvind Kaushik, Dipan Mandal, Mahesh Chandra
DRACO: Co-Optimizing Hardware Utilization, and Performance of DNNs on Systolic Accelerator. ISVLSI (2020)
Nandan Kumar Jha, Rajat Saini, Subhrajit Nag, Sparsh Mittal
E2GC: Energy-efficient Group Convolution in Deep Neural Networks. CoRR (2020)
Sparsh Mittal
A survey on modeling and improving reliability of DNN algorithms and accelerators. J. Syst. Archit. 104 (2020)
Sparsh Mittal
A survey on evaluating and optimizing performance of Intel Xeon Phi. Concurr. Comput. Pract. Exp. 32 (19) (2020)
Sparsh Mittal
A survey of FPGA-based accelerators for convolutional neural networks. Neural Comput. Appl. 32 (4) (2020)
Sparsh Mittal
A Survey on optimized implementation of deep learning models on the NVIDIA Jetson platform. J. Syst. Archit. 97 (2019)
Sparsh Mittal, Venkat Mattela
A survey of techniques for improving efficiency of mobile web browsing. Concurr. Comput. Pract. Exp. 31 (15) (2019)
Sparsh Mittal
A survey of techniques for dynamic branch prediction. Concurr. Comput. Pract. Exp. 31 (1) (2019)
Sumanth Umesh, Sparsh Mittal
A survey of spintronic architectures for processing-in-memory and neural networks. J. Syst. Archit. 97 (2019)
Sparsh Mittal
A survey on applications and architectural-optimizations of Micron's Automata Processor. J. Syst. Archit. 98 (2019)
Sparsh Mittal, Subhrajit Nag
A survey of encoding techniques for reducing data-movement energy. J. Syst. Archit. 97 (2019)
Nandan Kumar Jha, Sparsh Mittal, Govardhan Mattela
The Ramifications of Making Deep Neural Networks Compact. VLSI Design (2019)
Sparsh Mittal
A Survey of ReRAM-Based Architectures for Processing-In-Memory and Neural Networks. Mach. Learn. Knowl. Extr. 1 (1) (2019)
Haonan Wang, Mohamed Assem Ibrahim, Sparsh Mittal, Adwait Jog
Address-stride assisted approximate load value prediction in GPUs. ICS (2019)
Sparsh Mittal, Shraiysh Vaishay
A survey of techniques for optimizing deep learning on GPUs. J. Syst. Archit. 99 (2019)
Sparsh Mittal, S. B. Abhinaya, Manish Reddy, Irfan Ali
A Survey of Techniques for Improving Security of GPUs. J. Hardw. Syst. Secur. 2 (3) (2018)
Sparsh Mittal
A Survey of Techniques for Dynamic Branch Prediction. CoRR (2018)
Sparsh Mittal, S. B. Abhinaya, Manish Reddy, Irfan Ali
A Survey of Techniques for Improving Security of GPUs. CoRR (2018)
Sparsh Mittal, Maruthi S. Inukonda
A survey of techniques for improving error-resilience of DRAM. J. Syst. Archit. 91 (2018)
Sparsh Mittal, Ahmed Izzat Alsalibi
A Survey of Techniques for Improving Security of Non-volatile Memories. J. Hardw. Syst. Secur. 2 (2) (2018)
Ahmed Izzat Alsalibi, Sparsh Mittal, Mohammed Azmi Al-Betar, Putra Bin Sumari
A survey of techniques for architecting SLC/MLC/TLC hybrid Flash memory-based SSDs. Concurr. Comput. Pract. Exp. 30 (13) (2018)
Sparsh Mittal
A survey of techniques for architecting TLBs. Concurr. Comput. Pract. Exp. 29 (10) (2017)
Guoliang Zhu, Kai Lu, Xiaoping Wang, Yiming Zhang, Pengfei Zhang, Sparsh Mittal
SwapX: An NVM-Based Hierarchical Swapping Framework. IEEE Access 5 (2017)
Sparsh Mittal
A survey of value prediction techniques for leveraging value locality. Concurr. Comput. Pract. Exp. 29 (21) (2017)
Sparsh Mittal
Mitigating Read-disturbance Errors in STT-RAM Caches by Using Data Compression. CoRR (2017)
Rujia Wang, Sparsh Mittal, Youtao Zhang, Jun Yang
Decongest: Accelerating Super-Dense PCM Under Write Disturbance by Hot Page Remapping. IEEE Comput. Archit. Lett. 16 (2) (2017)
Lei Jiang, Sparsh Mittal, Wujie Wen
Building a Fast and Power Efficient Inductive Charge Pump System for 3D Stacked Phase Change Memories. ACM Great Lakes Symposium on VLSI (2017)
Sparsh Mittal
A Survey of Techniques for Architecting and Managing GPU Register File. IEEE Trans. Parallel Distributed Syst. 28 (1) (2017)
Sparsh Mittal
A survey of techniques for designing and managing CPU register file. Concurr. Comput. Pract. Exp. 29 (4) (2017)
Sparsh Mittal
A Survey of Soft-Error Mitigation Techniques for Non-Volatile Memories. Comput. 6 (1) (2017)
Sparsh Mittal, Rajendra Bishnoi, Fabian Oboril, Haonan Wang, Mehdi Baradaran Tahoori, Adwait Jog, Jeffrey S. Vetter
Architecting SOT-RAM Based GPU Register File. ISVLSI (2017)
Sparsh Mittal, Jeffrey S. Vetter, Lei Jiang
Addressing Read-Disturbance Issue in STT-RAM by Data Compression and Selective Duplication. IEEE Comput. Archit. Lett. 16 (2) (2017)
Sparsh Mittal, Haonan Wang, Adwait Jog, Jeffrey S. Vetter
Design and Analysis of Soft-Error Resilience Mechanisms for GPU Register File. VLSI Design (2017)
Sparsh Mittal
A Survey of Techniques for Cache Partitioning in Multicore Processors. ACM Comput. Surv. 50 (2) (2017)
Sparsh Mittal, Jeffrey S. Vetter
A Survey Of Techniques for Architecting DRAM Caches. IEEE Trans. Parallel Distributed Syst. 27 (6) (2016)
Sparsh Mittal
A Survey of Techniques for Cache Locking. ACM Trans. Design Autom. Electr. Syst. 21 (3) (2016)
Panruo Wu, Dong Li, Zizhong Chen, Jeffrey S. Vetter, Sparsh Mittal
Algorithm-Directed Data Placement in Explicitly Managed Non-Volatile Memory. HPDC (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Sparsh Mittal