Tagged with: Hardware-software Co-design

PROPOSAL

Privacy-Preserving Key-Value Stores: Randomization in Practice

Modern data analytics systems are composed of two types of nodes: compute and storage (e.g., Amazon S3, Redis, MongoDB, etc.). The storage nodes typically offer a key-value interface and are often used to store data encoded in a columnar format (e.g., Parquet files). Due to growing data sizes in datacenters, there is an increasing interest in using specialized hardware devices, namely Field …
Supervisors: Zsolt István
Semester: Spring 2021
Tags: FPGA, Hardware-software Co-design, Security and Privacy

PROPOSAL

Resource management for Data-Intensive Systems Running on Heterogeneous Hardware

The variety and complexity of data-intensive applications and systems have been increasing drastically the past decade. Tasks from a SQL-based big data analytics request running on Apache Spark can be very different from tasks from deep learning training using TensorFlow framework. Nevertheless, these data-intensive applications increasingly run on shared hardware resources in data centers or …
Supervisor: Pınar Tözün
Semester: Fall 2020
Tags: hardware-software co-design