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ORCIDNawras Alnaasan
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2020 – today
- 2024
[c10]Lang Xu, Quentin Anthony, Qinghua Zhou, Nawras Alnaasan, Radha Gulhane, Aamir Shafi, Hari Subramoni, Dhabaleswar K. D. K. Panda:
Accelerating Large Language Model Training with Hybrid GPU-based Compression. CCGrid 2024: 196-205- [c9]Nawras Alnaasan, Horng-Ruey Huang, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
Characterizing Communication in Distributed Parameter-Efficient Fine-Tuning for Large Language Models. HOTI 2024: 11-19 - [c8]Bharath Ramesh, Nick Contini, Nawras Alnaasan
, Kaushik Kandadi Suresh, Mustafa Abduljabbar, Aamir Shafi, Hari Subramoni, Dhabaleswar K. D. K. Panda:
HINT: Designing Cache-Efficient MPI_Alltoall using Hybrid Memory Copy Ordering and Non-Temporal Instructions. IPDPS 2024: 802-813 - [i4]Lang Xu, Quentin Anthony, Qinghua Zhou, Nawras Alnaasan, Radha Gulhane, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
Accelerating Large Language Model Training with Hybrid GPU-based Compression. CoRR abs/2409.02423 (2024) - 2023
- [c7]Nawras Alnaasan, Matthew Lieber, Aamir Shafi, Hari Subramoni, Scott A. Shearer, Dhabaleswar K. Panda:
HARVEST: High-Performance Artificial Vision Framework for Expert Labeling using Semi-Supervised Training. IEEE Big Data 2023: 139-148 - [c6]Jinghan Yao, Nawras Alnaasan, Tian Chen, Aamir Shafi, Hari Subramoni, Dhabaleswar K. D. K. Panda:
Flover: A Temporal Fusion Framework for Efficient Autoregressive Model Parallel Inference. HiPC 2023: 107-116 - [c5]Bharath Ramesh, Goutham Kalikrishna Reddy Kuncham, Kaushik Kandadi Suresh, Rahul Vaidya, Nawras Alnaasan, Mustafa Abduljabbar, Aamir Shafi, Hari Subramoni, Dhabaleswar K. D. K. Panda:
Designing In-network Computing Aware Reduction Collectives in MPI. HOTI 2023: 25-32 - [c4]Hyunho Ahn, Tian Chen, Nawras Alnaasan, Aamir Shafi, Mustafa Abduljabbar, Hari Subramoni, Dhabaleswar K. Panda:
Performance Characterization of Using Quantization for DNN Inference on Edge Devices. ICFEC 2023: 1-6 - [i3]Hyunho Ahn, Tian Chen, Nawras Alnaasan, Aamir Shafi, Mustafa Abduljabbar, Hari Subramoni, Dhabaleswar K. Panda:
Performance Characterization of using Quantization for DNN Inference on Edge Devices: Extended Version. CoRR abs/2303.05016 (2023) - [i2]Jinghan Yao, Nawras Alnaasan, Tian Chen, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
Flover: A Temporal Fusion Framework for Efficient Autoregressive Model Parallel Inference. CoRR abs/2305.13484 (2023) - 2022
- [j1]Arpan Jain, Nawras Alnaasan, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
Optimizing Distributed DNN Training Using CPUs and BlueField-2 DPUs. IEEE Micro 42(2): 53-60 (2022) - [c3]Nawras Alnaasan, Arpan Jain, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
AccDP: Accelerated Data-Parallel Distributed DNN Training for Modern GPU-Based HPC Clusters. HIPC 2022: 32-41 - [c2]Nawras Alnaasan, Arpan Jain, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
OMB-Py: Python Micro-Benchmarks for Evaluating Performance of MPI Libraries on HPC Systems. IPDPS Workshops 2022: 870-879 - 2021
- [c1]Arpan Jain, Nawras Alnaasan, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
Accelerating CPU-based Distributed DNN Training on Modern HPC Clusters using BlueField-2 DPUs. HOTI 2021: 17-24 - [i1]Nawras Alnaasan, Arpan Jain, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
OMB-Py: Python Micro-Benchmarks for Evaluating Performance of MPI Libraries on HPC Systems. CoRR abs/2110.10659 (2021)
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aka: Dhabaleswar K. D. K. Panda
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