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Author

Sajal Dash

Observed name: Dash, Sajal
ORCID: 0000-0001-5308-914X
Observed ORCID: 0000-0001-5308-914X
OpenAlex ID: A5040970890
Differentiating between cancer and normal tissue samples using multi-hit combinations of genetic mutations
2019 · Sajal Dash, Nicholas A. Kinney, et al. · Scientific Reports · 28
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Hvac: Removing I/O Bottleneck for Large-Scale Deep Learning Applications
2022 · Awais Khan, Arnab K. Paul, et al. · IEEE International Conference on Cluster Computing (CLUSTER) · 26
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Strategies to Deploy and Scale Deep Learning on the Summit Supercomputer
2019 · Junqi Yin, Shubhankar Gahlot, et al. · IEEE/ACM Workshop on Deep Learning on Supercomputers (DLS) · 22
Optimizing Distributed Training on Frontier for Large Language Models
2024 · Sajal Dash, Isaac R Lyngaas, et al. · ISC High Performance (ISC) · 20
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FORGE: Pre-Training Open Foundation Models for Science
2023 · Junqi Yin, Sajal Dash, et al. · International Conference for High Performance Computing, Networking, Storage and Analysis (SC) · 19
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Evaluation of pre-training large language models on leadership-class supercomputers
2023 · Junqi Yin, Sajal Dash, et al. · The Journal of Supercomputing · 19
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Image transformers for classifying acute lymphoblastic leukemia
2022 · Priscilla Cho, Sajal Dash, et al. · SPIE Medical Imaging: Computer-Aided Diagnosis · 18
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Identifying multi-hit carcinogenic gene combinations: Scaling up a weighted set cover algorithm using compressed binary matrix representation on a GPU
2020 · Qais Al Hajri, Sajal Dash, et al. · Scientific Reports · 15
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Comparative evaluation of deep learning workloads for leadership-class systems
2021 · Junqi Yin, Aristeidis Tsaris, et al. · BenchCouncil Transactions on Benchmarks Standards and Evaluations · 13
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iBLAST: Incremental BLAST of new sequences via automated e-value correction
2021 · Sajal Dash, Sarthok Rahman, et al. · PLoS ONE · 13
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DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies
2023 · Song, Shuaiwen Leon, Kruft, Bonnie, et al. · arXiv (Cornell University) · 8
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Evaluating the Cloud for Capability Class Leadership Workloads
2023 · Jack Lange, Thomas Papatheodore, et al. · 7
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Mitigating Catastrophic Forgetting in Deep Learning in a Streaming Setting Using Historical Summary
2021 · Sajal Dash, Junqi Yin, et al. · 6
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Ultra-Long Sequence Distributed Transformer
2023 · Wang, Xiao, Lyngaas, Isaac, et al. · arXiv (Cornell University) · 5
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A Scalable Pipeline for Gigapixel Whole Slide Imaging Analysis on Leadership Class HPC Systems
2022 · Sajal Dash, Benjamin Hernandez, et al. · IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum · 5
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Scaling Resolution of Gigapixel Whole Slide Images Using Spatial Decomposition on Convolutional Neural Networks
2023 · Aristeidis Tsaris, Josh Romero, et al. · Platform for Advanced Scientific Computing Conference (PASC) · 4
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X-MoE: Enabling Scalable Training for Emerging Mixture-of-Experts Architectures on HPC Platforms
2025 · Yueming Yuan, Ahan Gupta, et al. · International Conference for High Performance Computing, Networking, Storage and Analysis (SC) · 2
Bigpicc: a graph-based approach to identifying carcinogenic gene combinations from mutation data
2025 · Vladyslav Oles, Sajal Dash, et al. · BMC Bioinformatics · 2
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Scalable Artificial Intelligence for Science: Perspectives, Methods and Exemplars
2024 · Brewer, Wesley, Kashi, Aditya, et al. · arXiv (Cornell University) · 2
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Long Term Per-Component Power and Thermal Measurements of the OLCF Summit System
2022 · Shin, Woong, Ellis, J. Austin, et al. · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 2
Scaling Out a Combinatorial Algorithm for Discovering Carcinogenic Gene Combinations to Thousands of GPUs
2021 · Sajal Dash, Qais Al-Hajri, et al. · IEEE International Parallel and Distributed Processing Symposium (IPDPS) · 2
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Exploring the Landscape of Big Data Analytics Through Domain-Aware Algorithm Design
2020 · Sajal Dash · VTechWorks (Virginia Tech) · 2
Towards a Universal Classifier for Crystallographic Space Groups: A Trickle-Down Approach to Handle Data Imbalance
2020 · Sajal Dash, Archi Dasgupta · Communications in computer and information science · 2
Portable Parallel Design of Weighted Multi-Dimensional Scaling for Real-Time Data Analysis
2017 · Sajal Dash, Anshuman Verma, et al. · IEEE International Conference on High Performance Computing and Communications; IEEE International Conference on Smart City; IEEE International Conference on Data Science and Systems (HPCC/SmartCity/DSS) · 2
A comparison of histopathology imaging comprehension algorithms based on multiple instance learning
2023 · Adam Saunders, Sajal Dash, et al. · SPIE Medical Imaging: Digital and Computational Pathology · 1
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Works count: 41
Citation count: 247
H-index: 10
I10-index: 10
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