The Fortran compiler, which came out 80 years ago, is still widely used in meteorological modeling, fluid mechanics, computational chemistry, and other disciplines that require complex linear algebra and powerful computing capabilities. Because of the invention of the Fortran compiler, Frances (Fran) Allen became the world's first female Turing Award winner.
From the discovery of gravitational waves in 2015 to the Human Genome Project, you can find a common figure behind these major scientific advances-computing technology. We can no longer deny that research in many fields, especially in the field of artificial intelligence, is based on high-performance computing. Such research models are becoming more and more common in various disciplines. Providing more and more advanced computing technologies and tools to change the face of computing has also become the mission of the times for technology companies and scientific research institutions with advanced computing technologies.
On September 15, under the guidance of the High Performance Computing Professional Committee of the Chinese Computer Society and the China Academy of Information and Communications Technology (hereinafter referred to as the China Academy of Information and Communications Technology), ACM China High Performance Computing Expert Committee (ACMSIGHPC) and the Cloud Computing Open Source Industry Alliance co-hosted, Amazon Cloud Supported by technology and Tencent Cloud, the 2021 Global High-Performance Cloud Computing Innovation Competition (hereinafter referred to as the 2021 MAXP Competition) participated by vendors such as Alibaba Cloud, Huawei Cloud, UCloud and Tianyi Cloud was officially launched. With the theme of high-performance cloud computing, the competition aims to further promote the development of domestic high-performance computing, and provides participants with a prize pool of up to 400,000 yuan, as well as internship opportunities and authoritative certificates of honor.
Scan the QR code to go to the official website of the contest
Among them, the proposition track supported by Amazon Cloud Technology has designed the current hot graph machine learning algorithm topic in the AI field "Graph machine learning tasks based on the DGL framework" and serverless computing related topics "Serverless computing tasks based on Labmda" .
Focusing on the two major technical competition questions, the Amazon Cloud Technology technical team will bring a series of 5 lectures in total to the participating teams. The course content includes detailed explanations of the use of popular cloud computing applications such as Amazon Lambda, DGL, and SageMaker, as well as in-depth analysis and skill sharing of competition questions.
The first lecture of this open class will be officially launched at 7pm on September 24. Amazon solution architect Lu Ning will bring you an explanation of the competition questions and an introduction to Amazon Lambda. See the poster below for live broadcast details:
About Amazon Lambda
Serverless computing, also known as Function-as-a-Service (FaaS), is a model of cloud computing. It enables developers to build more agile applications so that they can innovate and respond to changes faster.
Amazon Lambda is a serverless computing service provided by Amazon Web Services, which allows developers to run code without pre-setting or managing servers. With Lambda, developers can focus on writing program code, which can be used to run code for almost any type of application or back-end service. The Lambda service itself provides a billing model with automatic expansion, built-in high availability, and pay-as-you-go.
For more exciting content of the contest, please scan the QR code below to add the official contest assistant to the contest discussion group. When adding, please note "institution + name + competition track" ("MAXP Innovation", "MAXP DGL", "MAXP Lambda")
Scan the QR code to follow the competition assistant
Enter the contest discussion group
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