Bright Cluster Manager Speeds Alzheimer’s Disease Research at Stony Brook University

Share Article

Scientists replace open-source management tools with Bright, minimizing system management efforts while realizing increased system productivity in their groundbreaking study of Alzheimer’s disease and other neurodegenerative disorders. Bright Cluster Manager is used for provisioning, job scheduling, monitoring and management at Stony Brook's Laufer Center for Physical and Quantitative Biology.

News Image
We typically save at least a day per month on just systems maintenance alone.

Bright Computing— the leading vendor-independent provider of cluster management software— announced that Stony Brook University chose Bright Cluster Manager® to support its scientific research program for neurodegenerative diseases. The university’s Laufer Center for Physical and Quantitative Biology switched from open source cluster management tools to Bright Cluster Manager to save researchers time, ensure high system productivity, and to minimize the complexity of managing and using their cluster. In short, The Stony Brook scientists wanted to spend their time on research, not cluster management.

The cluster at Stony Brook’s Laufer Center consists of 40 Hewlett-Packard servers, comprising 480 CPUs and augmented with 80 Tesla NVIDIA GPUs. Using the Bright Cluster Manager, the center was able to install a new HPC cluster and run full workloads in just two days. Beyond installation, Bright provides provisioning, job scheduling, cluster monitoring and management as a single, unified application— eliminating the need for researchers to waste time integrating and synchronizing cluster management toolkits.

“We needed a more sophisticated solution that would minimize the effort required to monitor and manage our computing clusters,” said Dr. Justin MacCallum, Junior Fellow, Laufer Center for Physical and Quantitative Biology at Stony Brook University. “Bright gives us full visibility to every aspect of our cluster in an intuitive GUI, and makes it fast and easy to make changes. Compared to the open source toolkits we were using, we typically save at least a day per month on just systems maintenance alone.”

“Another significant benefit we have seen here at the Center is increased system productivity,” added Dr. MacCallum. “To analyze proteins associated with neurodegenerative diseases such as Alzheimer’s, the cluster churns massive datasets on an ongoing basis. These datasets are partitioned across large numbers of nodes. Bright’s pre-job health checks ensure that poorly functioning nodes are excluded from job runs, preventing system-related job crashes while sending us alerts to speed problem resolution. We get a lot more work done with Bright.”

Bright Cluster Manager is increasingly the solution of choice for academic institutions looking to minimize system management efforts in favor of focusing on research. Bright provides a single, totally integrated solution for provisioning, scheduling, monitoring and managing clusters, all within a single graphical user interface (GUI) or via its Cluster Management Shell. Bright also automatically cloud-enables Stony Brook’s cluster, making it easy to extend this system into Amazon EC2 for additional capacity, and manage these cloud resources as part of their local system.

For more information about Bright Cluster Manager, please visit:
About Stony Brook University
The Louis and Beatrice Laufer Center is a leader for research in physical and quantitative biology at Stony Brook University. Laufer Center researchers study biochemical networks in cells; use computational modeling to understand how proteins fold; design drugs for high-affinity binding to proteins; learn how protein motions cause biological mechanisms; explore the physical forces that drive proteins to aggregate in neurodegenerative diseases such as Parkinson’s and Alzheimer’s; develop combinatorial computer algorithms for designing DNA sequences for synthetic biology; and more. Laufer Center researchers come from a broad community including Stony Brook departments of chemistry, physics, applied mathematics and statistics, computer science, molecular genetics and microbiology

About Bright Computing
Bright Computing specializes in management software for clusters, grids and clouds, including compute, storage, Hadoop and database clusters. Bright’s fundamental approach and intuitive interface makes cluster management easy, while providing powerful and complete management capabilities for increasing productivity. Bright Cluster Manager is the solution of choice for many research institutes, universities, and companies across the world, and manages several Top500 installations. Bright Computing has its headquarters in San Jose, California.

Pictures and screenshots of Bright Cluster Manager

For more information:
Mark Blessing
Bright Computing
2880 Zanker Road
San Jose, CA 95134

Share article on social media or email:

View article via:

Pdf Print

Contact Author

Mark Blessing
Visit website