Tao Gao

Mimir: Memory-Efficient and Scalable MapReduce for Large Supercomputing Systems

2017

In this paper we present Mimir, a new implementation of MapReduce over MPI. Mimir inherits the core principles of existing MapReduce frameworks, such as MR-MPI, while redesigning the execution model to incorporate a number of …

Latency and efficiency driven dynamic content replacement in elastic optical datacenter networks

2017

We study the problem of dynamic content replacement in terms of network state variation in elastic optical datacenter networks. A dynamic content replacement scheme is proposed to minimize spectrum consumption, blocking probability and network latency.

Studying the Impact of Power Capping on MapReduce-based, Data-intensive Mini-applications on Intel KNL and KNM Architectures

2019 · arXiv (Cornell University)

In this poster, we quantitatively measure the impacts of data movement on performance in MapReduce-based applications when executed on HPC systems. We leverage the PAPI 'powercap' component to identify ideal conditions for execution of our …

Enhancing Robustness and Interpretability in Transformer Networks through Fuzzification

2024

Transformer networks have shown good performance in multifaceted tasks such as natural language processing, but face challenges in terms of robustness and interpretability. This study proposes a Transformer Fuzzy Neural Network (TFNN) that integrates fuzzification …