Tencent Cloud Joins IBM and Mellanox to Break Data Sorting World Records
- Tencent Cloud establishes 4 world records in winning the GraySort and MinuteSort categories at the renowned Sort Benchmark Contest - at rates 2 to 5 times faster than last year's winners
- Took just 98.8 seconds to sort 100TB of data
- Used IBM OpenPOWER servers and Mellanox 100Gb Interconnect Technology
BEIJING and ARMONK, N.Y. and YOKNEAM, Israel, Nov. 10, 2016 /PRNewswire/ -- Tencent, IBM (NYSE: IBM) and Mellanox announced today that Tencent Cloud has been named the Winner of the Sort Benchmark annual global computing competition for 2016. Tencent Cloud and the Big Data Collaboration team spent less than 99 seconds (98.8 seconds) finishing sorting 100 terabytes of data in the Indy GraySort category, improving on 2015's best result, 329 seconds, by a factor of 3.3.
Each year, top global companies and academic institutions participate in the contest to evaluate the capability of their software and hardware system architectures, as well as their research results. Tencent Cloud participated in two of the four competition categories, GraySort and MinuteSort, to benchmark the architecture capabilities and computing efficiencies of large distributed computing systems and real time data analytics. The GraySort and MinuteSort benchmarks are each measured in two sub categories:
- Indy (special purpose sort)
- Daytona (general purpose sort)
Tencent Cloud Data Intelligence (the distributed computing platform of Tencent Cloud) won each category in both the GraySort and MinuteSort benchmarks, establishing four new world records with its performance, outperforming 2015's best speeds by two to five times.
"In the future, the ability to manage big data will be the foundation of successful Internet businesses," said Zeus Jiang, Vice President of Tencent Cloud and General manager of Tencent's Data Platform Department. "Tencent Cloud can provide precise high performance computing to enterprises using minimal time and resources. We will continue to improve the back end technology for our cloud service by optimizing architecture, software and hardware to help global enterprises solve complex business challenges by leveraging hyper-scale computing platforms."
2016 Sort Benchmark Contest Result
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Sort Benchmark Competition
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2016 World Records (Tencent Cloud) |
2015 World Records |
2016 Improvement |
Daytona GraySort |
44.8 TB/min |
15.9 TB/min |
2.8X greater performance
|
Indy GraySort |
60.7 TB/min |
18.2 TB/min |
3.3X greater performance
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Daytona MinuteSort |
37 TB/min |
7.7 TB/min |
4.8X greater performance
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Indy MinuteSort |
55 TB/min |
11 TB/min |
5X greater
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As a non-profit organization, sortbenchmark.org uses the basic sort computing method to evaluate distributed system software architectural capabilities such as storage, task scheduling, node communication, and data exchange. It also evaluates hardware architectural capabilities, including server selection and match, network architecture optimization, and the ability to build Internet Data Centers. The ultimate test is on the comprehensive capabilities of large scale computing of a company or an organization. In this sort contest, Tencent Cloud used 512 IBM OpenPOWER servers and Mellanox'100Gb interconnect technology, improving the performance of Tencent Cloud big data products with the infrastructure.
"Industry leaders like Tencent are helping IBM and our OpenPOWER partners push performance boundaries for a cognitive era defined by big data and advanced analytics," said Tom Rosamilia, Senior Vice President, IBM Systems. "The computing record achieved by Tencent Cloud on OpenPOWER is an important milestone for the industry."
"Real-time-analytics and Big Data environments are extremely demanding and the network is critical in linking together the extra high performance IBM POWER based servers and Tencent Cloud's massive amounts of data," said Amir Prescher, Sr. Vice President, Business Development, at Mellanox Technologies. "Tencent Cloud developed an optimized hardware/software platform to achieve new computing records, showing that Mellanox's 100Gb/s Ethernet technology can deliver total infrastructure efficiency and improves application performance, making them ideal for Big Data applications."
About Sort Benchmark
For more information about Tencent Cloud results from the Sort Benchmark Contest, please visit: http://sortbenchmark.org/
About Tencent Cloud
Tencent Cloud is a leading global cloud service provider. A product of Tencent, Tencent Cloud was built with the expertise of teams who created such innovative services as QQ, WeChat and Qzone. Tencent Cloud provides integrated cloud services such as IaaS, PaaS and SaaS, and is a one-stop service for enterprises seeking to adopt public cloud, hybrid cloud, private cloud and cloud-based financial services. Tencent Cloud is a pioneer in cutting edge web technologies such as Cloud Image, facial recognition, big data analytics, machine learning, audio/video technology and security protection. Tencent Cloud delivers integrated industry solutions for gaming, finance, e-commerce, tourism, online-to-offline services, governments, healthcare, online education, and smart hardware. It also provides general solutions with different functions, including online video, website set-up, hybrid cloud, big data, WeChat eco-system and more.
About IBM
For information about IBM, please visit: www.ibm.com
About Mellanox
Mellanox Technologies is a leading supplier of end-to-end InfiniBand and Ethernet interconnect solutions and services for servers and storage. Mellanox interconnect solutions increase data center efficiency by providing the highest throughput and lowest latency, delivering data faster to applications and unlocking system performance capability. Mellanox offers a choice of fast interconnect products: adapters, switches, software, cables and silicon that accelerate application runtime and maximize business results for a wide range of markets including high-performance computing, enterprise data centers, Web 2.0, cloud, storage and financial services. More information is available at www.mellanox.com.
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SOURCE IBM
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