Single & Multi Core Performance of an Erasure Coding Workload on AMD EPYC
Examining what erasure coding throughput can be achieved with an AMD EPYC 7601 processor teamed up with the MemoScale Erasure Coding Library. The tests have been performed with a GIGABYTE MZ31-AR0 server motherboard.
TRENDS - INCREASING DATA GROWTH AND FASTER STORAGE DEVICES
THE ROLE OF ERASURE CODING IN DATA STORAGE
GIGABYTE SERVER MOTHERBOARDS
MEMOSCALE ERASURE CODING LIBRARY
HOW WE TESTED
ENCODING AND DECODING DATA WITH ERASURE CODING
SINGLE CORE ENCODING & DECODING PERFORMANCE
MULTI CORE ENCODING & DECODING PERFORMANCE
GPU-accelerated servers are used in industries such as oil and gas exploration to deliver powerful computing capabilities, helping to quickly and accurately analyze large and complex data sets to reduce exploration costs. GIGABYTE uses industry-leading HPC technologies to provide customers in the oil and gas industry with GPU-accelerated servers that deliver top-tier computing performance.
Success StoryOver 100,000 Pokémon Fanatics Gather to Catch ‘Em All - See How GIGABYTE’s High Density Servers Help Maintain Law & Order
Large scale events can lead to a sudden surge in crowds, creating cellular network congestion. Even if the user capacity of a cell tower user is upgraded, the network operator is still unable to cope with an abrupt increase in demand. In 2019 Industrial Technology Research Institute (ITRI) therefore designed and built a “Private Cell Mobile Command Vehicle”, which can deploy a pre-5G private cellular network to avoid the problem of commercial network traffic jams. The vehicle provides the New Taipei City Police Department with smooth, uninterrupted cellular network service, allowing the police staff to remotely monitor real time footage of large scale events and deploy police resources where needed, increasing the efficiency of providing event security and safety. GIGABYTE’s H-Series High Density Servers are also helping to support ITRI’s “Private Cell Mobile Command Vehicle” by reducing the complexity of back-end infrastructure – each server combines computing, storage and networking into a single system, allowing for resources to be centralized and shared across different applications. The servers also optimize the use of time and manpower by combining and centralizing applications to simplify management procedures.