Sean Lin (Yu-Hsiang Lin) is R&D Manager at Phison, where he leads development and research of error correction codes and high-speed DSP implementations. With over 10+ years of experience, he has developed multiple generations of LDPC solutions for embedded, consumer, automotive and enterprise products. His research spans ECC algorithms, VLSI and system architectures, and PAM4 ADC-based DSP in SerDes. He earned his MS in Electrical Engineering from National Chiao Tung University. He holds over 60 granted patents worldwide.
Artificial intelligence is reshaping every layer of the computing stack, as well as the storage and memory hierarchy. To meet emerging AI workloads, NVIDIA has introduced the Storage-Next architecture, adding a new tier focused on ultra-high-IOPS random-access performance for small 512-byte I/Os. In this work, we address the key challenges that conventional SSD controllers face in achieving the theoretical maximum PCIe bandwidth with small block sizes. An advanced error-correction scheme tailored for fine-grained, latency-critical storage is essential to transform today’s SSDs into Storage-Next-ready devices. With this advancement, we demonstrate exceptionally low latency while delivering robust reliability. Additionally, we introduce neural network (NN)-assisted LDPC error correction, highlighting the potential of AI-powered approaches to enhance ECC reliability in next-generation AI storage and memory systems.