Applications open for Huawei UK Tech Arena 2024 Challenge

As a student, this is an incredible opportunity to work on real-world problems, collaborate with industry leaders, and gain hands-on experience in areas that are shaping the future of technology. By competing in this challenge, you’ll not only showcase your talents but also build skills that will set you apart in the fast-evolving tech landscape. With exciting prizes, networking opportunities, and the chance to impact the future of computer architecture and database systems, this competition is the perfect platform for young innovators eager to learn, compete, and shine.

Categories

• Track 1: High-Performance Computing:
  • Join them for the Huawei Tech Arena 2024 Challenge, an opportunity to investigate algorithms that improve predictions in CPU branches, data, and value predictors. This challenge invites participants to develop innovative solutions that enhance the performance and efficiency of CPU architecture through advanced prediction techniques.
  • Participants will focus on the following areas:
    • Designing and implementing algorithms for CPU branch prediction.
    • Enhancing data and value prediction methodologies.
    • Discovering new approaches to optimise CPU performance in conjunction with machine learning advancements.
  • This competition not only promotes innovative thinking but also provides a platform for students to showcase their skills and contribute to the future of computer architecture and machine learning. Don’t miss the chance to collaborate with industry experts, gain hands-on experience, and challenge yourself alongside like-minded peers. Whether you’re passionate about pushing the boundaries of CPU performance or eager to explore cutting-edge machine-learning applications, this is the perfect opportunity to take your ideas to the next level. Join them and be part of shaping tomorrow’s technological landscape!
• Track 2: Dynamic real-time cardinality estimation for databases:
  • Query optimisation is one of the core technologies of modern high-performance databases, ensuring that systems can efficiently respond to user queries. To achieve stable and efficient operation of a database, continuous innovation in data query optimisation is necessary. A key challenge in this area is cardinality estimation, which directly impacts the selection of execution plans and the enhancement of query performance. This is your opportunity to contribute to the advancement of database systems’ core algorithms in the era of big data! In this competition, you will focus on dynamic real-time cardinality estimation for databases, challenging your algorithm design and engineering implementation skills as you help propel databases toward a smarter and more efficient future!

Prize Information

• Grand Winner:
  • A cash reward of GBP £6,000 to the top-placing team
• 2nd Place:
  • A cash reward of GBP £4,000 to the second-placing team
• 3rd Place:
  • A cash reward of GBP £2,000 to each of the third-placing teams
• Internship Opportunities:
  • All qualifying Participants will have opportunities to apply for 3-6 months paid internships at Huawei
• Special Visits to China:
  • The top students will have the opportunity to attend a visit-trip to Huawei in China
• Souvenirs:
  • A Huawei souvenir pool worth GBP £2,000: All submitted teams will have the opportunity to receive great and unique souvenirs

Eligibility Criteria

• To be eligible for this competition:
  • Any individual UK or EU-based student (at a recognised education institution) aged at least eighteen (18) years and with full legal capacity.
  • Non-Huawei employees.
• The best team members for this competition are:
  • Students who are currently in undergraduate, Master’s, or PhD programs.
  • Students who are enrolled at a higher education institution in Ireland or the UK.
  • Students studying engineering, mathematics, computer science, or similar fields.
• Important Points:
  • Teams can have up to 3 members.
  • It’s a good idea to have at least one PhD student on your team.
  • Each participant can only be a member of one team.

For more information, visit Huawei.