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03/17/2023
Autopsy of Ethereum's Post-Merge Reward System
Like most modern blockchain networks, Ethereum has relied on economic in...
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01/06/2023
A Framework for Large Scale Particle Filters Validated with Data Assimilation for Weather Simulation
Particle filters are a group of algorithms to solve inverse problems thr...
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04/19/2021
An Oracle for Guiding Large-Scale Model/Hybrid Parallel Training of Convolutional Neural Networks
Deep Neural Network (DNN) frameworks use distributed training to enable ...
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12/29/2020
Armiarma: Ethereum2 Network Monitoring Tool
Achieving the equilibrium between scalability, sustainability and securi...
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12/29/2020
Resource Analysis of Ethereum 2.0 Clients
Scalability is a common issue among the most used permissionless blockch...
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12/01/2020
A Study of Checkpointing in Large Scale Training of Deep Neural Networks
Deep learning (DL) applications are increasingly being deployed on HPC s...
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11/26/2020
On the Applicability of PEBS based Online Memory Access Tracking for Heterogeneous Memory Management at Scale
Operating systems have historically had to manage only a single type of ...
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10/26/2020
Resiliency in Numerical Algorithm Design for Extreme Scale Simulations
This work is based on the seminar titled “Resiliency in Numerical Algori...
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06/30/2020
Extending the OpenCHK Model with Advanced Checkpoint Features
One of the major challenges in using extreme scale systems efficiently i...
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11/30/2019
Hardware Versus Software Fault Injection of Modern Undervolted SRAMs
To improve power efficiency, researchers are experimenting with dynamica...
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06/12/2019
Application-Level Differential Checkpointing for HPC Applications with Dynamic Datasets
High-performance computing (HPC) requires resilience techniques such as ...
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06/12/2019