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Winners of The OlympusMons Awards 2022
About the OlympusMons Awards
As a new factor of production, data has become a basic strategic resource in today's digital economy. However, explosive data growth and innovative data applications place higher requirements on data infrastructure. Sufficient storage capacity, premium usability, higher security, and better energy efficiency are now key priorities for industry, academia, and research organizations. In addition to ever-changing requirements for IT architecture, how to build data infrastructure with maximum energy efficiency is a major challenge for the industry.
Building a technological ecosystem, especially in the field of basic technology breakthroughs, requires the collaboration of all parties. That's why Huawei established the annual OlympusMons Awards in 2019 to lead the global research of data storage basic theories, break through key technical problems, accelerate the industrialization of scientific research achievements, and achieve industry-academia-research win-win collaboration.
Learn MoreChallenges of the
OlympusMons Awards 2022
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Challenge 1
Data Infrastructure with Maximum Energy Efficiency
To handle various devices and diverse application workloads in data centers, high-throughput data processing needs, and energy saving trends, research is needed into technologies such as data-centric, network-storage-compute converged architecture, diversified heterogeneous virtualization, data center-level energy saving, data-storage collaboration, and data services that deliver optimal user experience. This will enable us to build a data infrastructure with optimal energy efficiency.
Learn More
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Challenge 2
Data Storage with Ultimate Per-Bit Cost Efficiency
Explosive data growth is causing performance and capacity bottlenecks in existing storage systems. To leverage new types of non-volatile, optical, and magnetic media, research is needed into technologies like those that accelerate replacement of HDDs with SSDs in primary storage scenarios, memory media, memory-class storage, new cost-effective warm/cold data storage media and systems, and cost-effective storage-compute convergence at the edge. This will enable us to build next-gen storage with superb cost-effectiveness per bit.
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OlympusMons Awarding Results
Professor Onur Mutlu from ETH Zurich receiving the OlympusMons Award
Winners of OlympusMons Pioneer Award
Professor Onur Mutlu from ETH Zurich receiving the OlympusMons Award
Winners of OlympusMons Pioneer Award
At the 2023 Global Data Storage Professor Forum, the trophies of the 2022 OlympusMons Awards (comprising the OlympusMons Award and OlympusMons Pioneer Award) were official presented to the winning teams. The OlympusMons Award was awarded to the team led by Professor Onur Mutlu of ETH Zurich for their research into network-storage-computing converged systems. This team proposed the adaptive optimization algorithm, accelerating the upgrade of the storage architecture. Also recognized were the winners of the 2022 OlympusMons Pioneer Award, who included Professor Jin Hai's team from Huazhong University of Science and Technology, Professor Zhao Weisheng's team from Beihang University, Professor Miao Xiangshui's team from Huazhong University of Science and Technology, and Dr. Liu Jian's team from Zhejiang University.
The winning projects were evaluated and ranked by the Review Committee based on four indicators: innovation, advancement, generality, and feasibility.
OlympusMons Award
Research Bonus: 1,000,000 RMB-
- Achievements：
- Data-Centric & Data-Driven Storage System Design for High Performance, Efficiency and Reliability
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- Major team members：
- Onur Mutlu Team from ETH Zurich
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Onur Mutlu
Mohammad
Sadrosadati
Juan
Gomez-Luna
Nika
MansouriGhiasi
Rakesh Nadig
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- Achievement introduction：
- For fundamental and impactful contributions to the research and practice of modern storage systems. Professor Onur Mutlu's research has enabled major breakthroughs in the design of modern storage systems in terms of efficiency, performance, reliability, lifetime, and customization for emerging data-intensive workloads (such as genome analysis, data analytics, machine learning).The research of Professor Onur Mutlu addresses many key issues in storage system design, ranging from emerging applications/workloads to emerging technologies (such as low-latency NAND flash, hybrid memories, hybrid storage systems, PCM, MRAM), application-driven data-centric storage system designs, machine learning based data-driven storage system design & management, processing inside storage systems, and various open-source infrastructures to enable open innovation in storage systems. The research spans many computing layers from applications, algorithms, systems to architectures, devices, and emerging technologies. The overall results of the research have greatly improved both performance and energy efficiency as well as reliability and endurance of cutting-edge storage systems. The research has also enabled application-driven specialization of the storage system (and the entire system) in a data-centric manner to maximize value and efficiency, especially for applications like machine learning, data analytics, and genome analysis.
OlympusMons Pioneer Award
Research Bonus: 500,000 RMB-
- Achievements：
- Multi-Tier Memory and Key Technologies
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- Major team members：
- Jinhai Team from Huazhong University of Science and Technology
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Jin Hai
Liu Haikun
Ye Chencheng
Liao Xiaofei
Duan Zhuohui
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- Achievement introduction：
- Professor Jin's team proposed the innovative multi-tier memory footprint theory of locality and reconfigurable heterogeneous memory architecture, and constructed a software stack that supports multi-tier memory. This has helped overcome a series of problems such as heterogeneous memory address translation acceleration, index structure design, dynamic memory management, transparent application migration, and persistent memory transaction mechanism. Therefore, it has been possible to extend the use of the memory tiering technology to the distributed environment, and thus implement the persistent memory-centric distributed memory pool system and solve key problems related to data reliability and persistence, consistency and concurrency control, and multi-copy fault tolerance.Applications such as the key-value (KV) store, and document database built on this technology, boast superior latency and throughput, facilitating more efficient management of new memory media-based data, which is presented as a problem under the Huawei OlympusMons Awards challenge – Data Storage with Ultimate Per-Bit Cost Efficiency.
OlympusMons Pioneer Award
Research Bonus: 500,000 RMB-
- Achievements：
- Research into New-Gen High-Performance Memory Media
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- Major team members：
- Zhao Weisheng Team from Beihang University
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Zhao Weisheng
Wang Zhaohao
Peng Shouzhong
Zhang Yue
Cao Kaihua
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- Achievement introduction：
- This achievement is part of the Huawei OlympusMons Awards challenge – Data Storage with Ultimate Per-Bit Cost Efficiency. It focuses on the technical bottlenecks of magnetic memory in terms of storage reliability, write power consumption, and circuit energy efficiency, and the proposed use of a single-atom tungsten layer to realize a strong tunneling magnetoresistance effect, thus greatly improving storage stability and solving the process problem encountered by second-gen magnetic memory during embedded integration. This technology has set a benchmark for the industry. Professor Zhao's team also theoretically predicted and experimentally verified the spin–orbit torque (SOT) effect, significantly reducing the power consumption of data writing. This technology has become a mainstream path to third-gen magnetic memory worldwide, following adoption by Intel and IMEC. Professor Zhao's team also designed a new read/write circuit and non-volatile computing architecture based on the excellent magnetic media component feature, significantly reducing data read/write power consumption and improving computing energy efficiency. Together, these achievements form a series of independent intellectual property rights, making it possible for China to develop cost-effective memory media in the post-Moore era.
OlympusMons Pioneer Award
Research Bonus: 500,000 RMB-
- Achievements：
- Three-Dimensional Phase Change Memory (PCM) Chip
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- Major team members：
- Miao Xiangshui Team from Huazhong University of Science and Technology
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Miao Xiangshui
Tong Hao
Cheng Xiaomin
Xu Ming
Wang Xingsheng
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- Achievement introduction：
- This achievement is a promising, next-gen large-capacity memory technology. After 15 years of research, the innovation of Miao Xiangshui's team in 3D PCM technology has addressed the key challenges faced by the 3D PCM in terms of physical mechanism, phase change material, gated image intensifier, test method, chip design, and large-scale integration. His team developed new phase change (pilot scale tested) and gated image intensifier materials that offer far better latency and service life than those provided by similar technologies. The team has authorized 93 of its core patents to players in the industry and cooperated with them to develop China's first proprietary GB-level 3D PCM chip. Additionally, the team has developed a 3D PCM memory module sample to demonstrate the outstanding read/write performance of their chip. This technology makes it possible to overcome the storage access performance bottleneck, providing low-cost memory and persistence features while still meeting requirements for high performance. It is essential to the development of "data storage with ultimate per-bit cost efficiency".
OlympusMons Pioneer Award
Research Bonus: 500,000 RMB-
- Achievements：
- Secure Deduplication of Encrypted Data
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- Major team members：
- Liu Jian Team from Zhejiang University
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Liu Jian
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- Achievement introduction：
- The data deduplication technology aims to eliminate redundant data within and between files and improve cloud storage efficiency by retaining only one data copy. When dealing with plaintext data, the server can use the hash value method to identify whether the data that has been newly uploaded by the user is the same as the previously-stored data. If they are the same, the user does not need to upload the data again and is provided with the access link for future access. However, determining how to implement secure deduplication for ciphertext data is difficult, and a key problem faced by academia. To address the challenge of achieving economical and efficient data storage, this achievement proposes the encrypted data deduplication technology, which, for the first time ever, does not require third-party servers. Instead, this technology uses the password authenticated key exchange (PAKE) protocol to detect and deduplicate data.
Thanks to All the Teams Who Participated the OlympusMons Awards!
As we move towards the intelligent era, we must cross the data peak.
OlympusMons represents Huawei Storage's unremitting pursuit and exploration on the road to data peaks.
The integration of industry, education, and research opens the door for innovation in data infrastructure.