Computation Acceleration Enables Novel Cryptographic Applications
Trending cryptographic technologies demand 10x to 1000x higher
computation power to meet practical requirements. For example,
privacy-preserving computing techniques, including secure multi-party computing
(MPC), homomorphic encryption (HE) and zero-knowledge proofs (ZKP), are
multiple orders of magnitude slower than their plain-text counterparts.
Openmining believes that domain-specific hardware accelerators play a center role in enabling novel cryptographic applications in fields like blockchain and privacy-preserving computing.
At Openmining, we focus on high performance cryptographic algorithms and hardware accelerators, including GPUs, FPGAs as well as ASICs. We are specialized in hardware-software co-design and full-stack performance optimization techniques.
Meet the Team
Founded by researchers and engineers from top silicon valley technology companies, our team aims to solve the most challenging problems in enabling a high performance cryptographic computing platform. Our founding members bring world-class expertises in high performance computing, cloud computing, heterogeneous accelerators and large scale web services into high performance cryptographic computing.
Jiannan Ouyang, Ph.D.Co-Founder
Jiannan is an expert in high performance computing and operating systems. He was previously research scientist at Facebook. Jiannan has published many research papers in the areas of computer systems and created the world's first open source light-weight co-kernel operating system architecture for supercomputers. Jiannan received his Ph.D. from the University of Pittsburgh.
Xinxin Mei, Ph.D.Research Scientist
Xinxin is an expert in GPU performance and power optimization. She has authored multiple widely cited research papers on the topic of GPU memory hierarchy dissecting and energy conservation. Xinxin received her Ph.D from Hong Kong Baptist University.