Avinash Maurya

Orcid: 0000-0002-8200-0148

According to our database1, Avinash Maurya authored at least 12 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Deep Optimizer States: Towards Scalable Training of Transformer Models using Interleaved Offloading.
Proceedings of the 25th International Middleware Conference, 2024

Application-Attuned Memory Management for Containerized HPC Workflows.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

DataStates-LLM: Lazy Asynchronous Checkpointing for Large Language Models.
Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing, 2024

Breaking the Memory Wall: A Study of I/O Patterns and GPU Memory Utilization for Hybrid CPU-GPU Offloaded Optimizers.
Proceedings of the 14th Workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructures, 2024

2023
COLTI: Towards Concurrent and Co-located DNN Training and Inference.
Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023

GPU-Enabled Asynchronous Multi-level Checkpoint Caching and Prefetching.
Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023

Towards Efficient I/O Pipelines Using Accumulated Compression.
Proceedings of the 30th IEEE International Conference on High Performance Computing, 2023

Accelerating Performance of GPU-based Workloads Using CXL.
Proceedings of the 13th Workshop on AI and Scientific Computing at Scale using Flexible Computing, 2023

2022
Towards Efficient Cache Allocation for High-Frequency Checkpointing.
Proceedings of the 29th IEEE International Conference on High Performance Computing, 2022

Towards Data Gravity and Compliance Aware Distributed Deep Learning on Hybrid Clouds.
Proceedings of the 29th IEEE International Conference on High Performance Computing, 2022

2021
Towards Efficient I/O Scheduling for Collaborative Multi-Level Checkpointing.
Proceedings of the 29th International Symposium on Modeling, 2021

2020
CoSim: A Simulator for Co-Scheduling of Batch and On-Demand Jobs in HPC Datacenters.
Proceedings of the 24th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, 2020


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