|Prize||No. of Winning Teams||Award (CNY)|
|Best Popularity||2||500 USD|
All teams can participate by publishing ASC-related content on Twitter or WeChat starting from February 22. The team that has the tweet with the most Retweets on Twitter and the team that has the post with the most Views on WeChat will win the ASC17 Best Popularity Prize. The prize award is $500 each. The winning teams will be announced in the ASC17 Final.
To participate, a team must send a screenshot and the link of their tweet or post to email@example.com by April 17 8AM (UTC/GMT +8:00) with the subject as “ASC17 Best Popularity Twitter_Number of Retweets_School Name_Advisor Name” or “ASC17 Best Popularity WeChat_Number of Views _School Name_Advisor Name”. You can publish as many as you like but only one submission is allowed for each team. The tweet or post should include ASC in the title and at least one team member’s name in the article. Varied format such as video, audio, and photos is accepted. Any official language is accepted.
Contact firstname.lastname@example.org if there are any questions.
|Date||Time||Content (1)||Content (2)||Content (3)|
|April 24||08:00-20:00||Announcement of contest rules, cluster building and testing||The runtime power consumption of the entire cluster should be less than 3000W||MASNUM application debugging||MASNUM application shall be optimized on Sunway||KNL platform setup||KNL
application shall be
|April 25||08:00-20:00||Cluster building and testing||MASNUM application debugging||KNL platform setup|
|April 26||08:00-18:00||Performance testing of HPL, HPCG, Mystery Application, Falcon||Performance testing of MASNUM application||Performance testing of LAMMPS on KNL|
|April 27||08:00-18:00||Performance testing of PaddlePaddle||Performance testing of MASNUM application||Performance testing of LAMMPS on KNL
|April 28||08:00-13:00||Team Presentation|
|14:30-18:30||The Awards Ceremony|
* subject to change
Rules of the final stage
1. Optimization methods that are only applicable to specific parameters or input data are strictly prohibited.
2. If there are any modifications on the algorithm, the new algorithm must be mathematically equivalent to the original one.
3. If any rules given above are violated, a score of zero will be given for the corresponding task.
Note: when in doubt, a team needs to submit a query to the contest committee before the competition on whether a specific optimization method violates the rules, and a decision will be made by the evaluation committee before the competition. Otherwise, the team will have no chance to provide further explanations when its optimization method is ruled out by the evaluation committee during the competition.
Restriction of power consumption and hardware platform
|CPU: Intel Xeon E5-2680v4 x 2，2.4Ghz，14 cores
Memory: 16G x8，DDR4，2133Mhz
Hard disk: 1TB SATA x 1
Estimated power consumption:
E5-2680v4 TDP 120W, memory nominal 7.5W, hard disk
|HCA card||FDR||InfiniBand Mellanox Connect X®-3 HCA card, single port QSFP,
FDR IB MCX353A-FCBT
Estimated power consumption:9W
|Switch||GbE switch||10/100/1000Mb/s，24 ports Ethernet switch
Estimated power consumption:30W
|FDR-IB switch||Switch X™ FDR InfiniBand switch, 36 QSFP port
Estimated power consumption:130W
|Cable||Gigabit CAT6 cables||CAT6 copper cable, blue, 3m|
|InfiniBand cable||InfiniBand FDR cable, QSFP port, working with the InfiniBand switch|
Tips of power consumption: the power consumption of a single server above (excluding accelerators) is about 380W when running with full workload.
|CPU: Intel Xeon Phi-7210, 1.3Ghz，64 cores
Memory: 16G x6，DDR4，2133Mhz
Hard disk: 1TB SATA x 1
Estimated power consumption:
No power limit.
B、Performance Optimization (90 points)
I. HPL performance optimization (7.5 points):
II. Performance optimization of HPCG (7.5 points):
III. Performance optimization of LAMMPS (15 points):
IV. Performance optimization of Falcon (15 points):
V. Performance optimization of the Mystery Application (15 points):
VI. Performance optimization of MASNUM (15 points):
VII. Traffic prediction with PaddlePaddle (15 points):
C、 Evaluation method of the Applications:
|HPL||7.5||Let be the actual performance of each team in which is the maximum, the score P1 will be given as:
|HPCG||7.5||P2 is calculated in the same way as P2 in HPL.|
|MASNUM||15||, where N is the number of workloads, is the full score of the ith workload, the score P3 will be given as:
Where is the runtime of the ith workload, and is the minimum among all the participating teams.
|Falcon||15||P4 is calculated in the same way as P3 in MASNUM|
|Mystery Application||15||P5 is calculated in the same way as P3 in MASNUM|
|Traffic prediction with PaddlePaddle||15||
Where E is the Root Mean Squared Error (RMSE) of the prediction, which is defined below,
Xactual,i is actual condition at moment i, while Xprediction,i is the prediction at moment i. Emin is the minimum of E among the teams.
|LAMMPS||15||P7 is calculated in the same way as P3 in MASNUM|
|Performance Total Points|
D、Team Presentation (10 points)
|Technical Support||Yu Liu, Weiwei Wang email@example.com|
|Media||Jie He firstname.lastname@example.org|
|Collaboration||Yan Yan email@example.com|
|General Information||Dongzhi Kong firstname.lastname@example.org|