As with many projects and programming languages, there is more than one way to achieve a task when orchestrating Chameleon computing and network resources. As a result, experimenters may feel overwhelmed and choose to stick to the orchestration method they are familiar with even when another method might be more effective for the task in hand.
This blog discusses a new experiment deployed on Chameleon called CIEF, a Cyber Infrastructure for Ecological Forecasting (Dietz & Matta, 2018). CIEF supports data-driven research in ecological forecasting to understand our ecosystem and drive policy. Examples include predicting environmental changes, corn production in the near to medium term, types of disease-carrying mosquitos, based on data related to air, land, and water.
The workload traces from data centers facilitate research on the design of computer systems, job scheduling, and resource management. Researchers can analyze the traces and replicate real-life workloads for their experiments. In this blog, we will briefly review some major released traces and introduce the benefits of using a Chameleon-developed trace generator for easily creating traces from cloud providers who use OpenStack.
Introducing a new networking capability: connect your Chameleon networks directly to AWS networks via DirectConnect! And, we discuss the addition of 40 new GPU cards at CHI@UC.
Simpler SDN setups, a new Jupyter tutorial, and a new focus in the new year--more details inside!
From everyone at Chameleon, we hope you had a pleasant holiday and welcome to the new year! Details inside about new HTTPS capabilities and important webinar/conference dates to kick things off in 2020.
history command available in Bash is a useful tool, and you probably use it frequently in your daily routine jobs to check the history of the commands executed by the user. In this blog, we will see how an equivalent tool in Chameleon can help you check the experiment setup events you performed on Chameleon.
This month we announce a new rack of Cascade Lake nodes for your enjoyment at CHI@TACC!
- Tickets of the Year: Solutions to Your 2020 (Ticket) Problems
- Performance Analysis of Deep Learning Workloads Using Roofline Trajectories on Chameleon
- Reproducing Solid State Drive Simulator Research Results on Chameleon
- Trovi: the Google Drive for Chameleon Experiments
- Chameleon and Reproducibility: LinnOS Case Study