FlashLite supports applications that need very high performance secondary memory as well as large amounts of primary (main) memory, and optimises data movement within the machine.
FlashLite has been designed to support data intensive applications, which are neither well served by traditional supercomputers nor by modern cloud-based data centres. Conventional supercomputers maximise Floating Point Operations per Second (FLOPS) and inter-processor communication rates through high bandwidth and low latency networks. Conversely, modern cloud systems minimise the cost of ownership through reliance on virtual machines and shared storage; they thus utilise relatively slow processors and networks and, by and large, do not support parallel processing.
FlashLite, however, maximises Input Output Operations Per Second (IOPS) while achieving competitive FLOPS ratings and high performance networking, producing a balanced system for applications that exploit parallelism, high-speed arithmetic, and high performance Input/Output (IO). The machine also uses ScaleMP's vSMP software, that provide seamless access to data regardless of location, making it easier to build new data intensive applications, whilst supporting legacy codes using familiar techniques.
What is FlashLite used for?
FlashLite will support applications that need very high performance secondary memory as well as large amounts of primary (main) memory, and will optimise data movement within the machine. Data intensive applications are neither well served by traditional supercomputers nor by modern cloud-based data centres. Conventional supercomputers maximise Floating Point Operations per Second (FLOPS) and inter-processor communication rates through high bandwidth and low latency networks. Conversely, modern cloud systems minimise the cost of ownership through reliance on virtual machines and shared storage, and thus utilise relatively slow processors and networks and do not support large-scale parallel processing. The proposal for FlashLite identified a number of computational themes:
Theme 1: Applications that Directly Manipulate Large Amounts of Data Large
- Memory Database Systems
- Machine Learning and Classification
- Cardiac Research
- Coastal Management
- Advanced Materials
- Climate Change
- LIDAR processing
- Computational Chemistry
Who can use the FlashLite?
FlashLite is available for use by Users from the stakeholder organisations. Users will need to make a case for needing a machine with the capability of FlashLite.
A portion of FlashLite's capacity will be available to researchers from outside of the stakeholder institutions via the National Computational Infrastructure's (NCI) National Computational Merit Allocation Scheme.
Who paid for FlashLite?
FlashLite has been funded by the Australian Research Council (LIEF Project #LE140100061) in conjunction with the following stakeholders:
- Griffith University
- Monash University
- Queensland Cyber Infrastructure Foundation
- Queensland University of Technology
- The University of Queensland
- The University of Technology, Sydney.
FlashLite is a multi-node cluster being purchased from XENON Systems that is comprised of the following sub-systems:
- 68 x compute nodes
- 2 x login nodes and 2 x administration nodes
- dual rail 56Gbps Mellanox infiniband fabric
- non-blocking within groups of 24 nodes
- 2:1 blocking factor between groups of 24 nodes
- ScaleMP vSMP software that aggregates multiple nodes into "super nodes" with larger memory/CPU/disk/IO than the individual nodes
- ROCKS cluster management software
- Torque + Maui batch system
- 150+ TB of high performance storage connected via NFS into IB fabric.
Each compute node has the following attributes:
- 2 x Xeon E5-2680v3 2.5GHz 12core Haswell processors with 30MB Smart Cache
- 16 x 32GB DDR4-2133 ECC LRDIMM modules – total 512GB (256GB per socket)
- 2 x 500GB 2.5" 7.2K HDDs as RAID 1 system disk
- 3 x 1.6TB Intel P3600 2.5" NVMe (SSD) drives for local data storage
- 2 x Mellanox Connect-IB 56Gb/s FDR Single Port Infiniband PCIe3 x8 adapter.
FlashLite System Status
FlashLite is being operated in an early adopter mode. Please be patient!
This page was updated at Wed Feb 24 14:42:48 AEST 2016