https://dasya.itu.dk/tags/hardware-software-co-design/ Recent content in hardware-software co-design on DASYA Hugo -- gohugo.io en-us © DASYA, IT University of Copenhagen Tue, 18 Aug 2020 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/archive/ppkv/ Tue, 18 Aug 2020 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/archive/ppkv/ 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 Programmable Gate Arrays (FPGAs), to implement the storage nodes in an energy-efficient manner. https://dasya.itu.dk/for-students/proposals/archive/resourcemanager/ Wed, 20 May 2020 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/archive/resourcemanager/ 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 high-performance computing (HPC) platforms. These hardware resources are also diverse today ranging from general-purpose CPUs to GPUs to programmable FPGAs.