IEEE Tutorial on LDPC Decoding: VLSI Architectures and Implementations
Wednesday, August 14, 2013 from 7:00 PM to 9:30 PM (PDT)
Santa Clara, CA
LDPC codes are now being used in Hard disk drive read channels, Wireless (IEEE 802.11n/ IEEE 802.11ac, IEEE 802.16e WiMax), 10-GB, DVB-S2, and more recently in Flash SSD. Tutorial’s target audience is system engineers and design engineers. Tutorial has two parts, first module is focused on LDPC Decoding and second module is focused on VLSI Architectures and Implementations.
Module 1 LDPC Decoding
1.1) LDPC codes
1.2) Hard decision decoding,
1.3) LLR basics and LLR generation for soft decoding for Flash memory channel
1.4) Soft decoding and Min-Sum Algorithm
1.5) LDPC decoder performance characteristics, trapping sets and error floor
1.6) Basics of Code Structures for Efficient hardware.
Module 2 VLSI Architectures and Implementations
2.1) Check Node Unit Design and Value-reuse property
2.2) Non-layered decoder architecture
a) Block serial processing
b) Translating throughput requirement to H matrix parameters and edge parallelization
2.3) Layered decoder architecture
a) Block serial processing
b) Block serial processing for irregular H matrices, scheduling of decoder processing
c) Block parallel processing
d) Translating throughput requirement to H matrix parameters and edge parallelization
e) Case study of decoders for 802.11n and Flash channel
2.4) Error floor mitigation schemes
Ned Varnica, Marvell Semiconductor
Ned Varnica received the B.S. degree in Electrical Engineering in 2000 from School of Electrical Engineering, University of Belgrade, Serbia, the M.S. degree in 2001 and Ph.D. in 2005 both from Harvard University, Cambridge, Massachusetts.
Since 2005 he has been with Marvell Semiconductor Inc, Santa Clara, California. He held short-term research positions at Maxtor Corporation, Shrewsbury, Massachusetts in 2002 and Lucent Bell Labs, Murray Hill, New Jersey in 2004. He spent the summer of 2003 as a visiting researcher at University of Hawaii at Manoa, Honolulu. His research interests are in the areas of communication theory, information theory, channel and source coding and their applications to digital data storage and wireless communications.
Dr. Varnica received the Best Student of the Class Award from the Department of Communications at the School of Electrical Engineering, University of Belgrade in 2000. He is a co-recipient, with A. Kavcic and X. Ma, of the 2005 IEEE Best Paper Award in Signal Processing and Coding for Data Storage.
Kiran Gunnam, Violin Memory
Kiran Gunnam received the MSEE and PhD in Computer Engineering from Texas A&M University, College Station, TX. He currently works as Director of Engineering at Violin Memory. He previously held research and development positions at Nvidia, Certicom, LSI, Marvell Semiconductor, Starvision Technologies, Schlumberger, Intel and Texas Engineering Experiment Station.
Dr. Gunnam has extensive research and development work experience in complex data path and control path systems. Dr. Gunnam is an expert in IC implementation of communications and signal processing systems. His PhD research contributed several key innovations in advanced error correction systems based on low-density parity- check codes (LDPC) and led to several industry designs. He has done extensive work on ASIC hardware architecture, micro-architecture and digital IC implementation for different systems (IEEE 802.11n Wi-Fi, IEEE 802.16e WiMax, IEEE 802.3 10-GB, Holographic read channel, HDD read channel and Flash read channel).
Dr. Gunnam has around 75 patents/patent applications/invention disclosures on hardware architecture and micro-architecture (33 issued patents, 17 pending patent applications and 25 more invention disclosures). He is the lead inventor/sole inventor for 90% of them. He is an IEEE Senior Member. He is also an IEEE Solid State Circuits Society Distinguished Lecturer for 2013 and 2014.
Flash Memory Summit
IEEE Professional Activities Committee for Engineers, Santa Clara Valley Section (IEEE SCV PACE)
When & Where
IEEE Santa Clara Valley Section (Silicon Valley Section) :
Professional Activities Committes for Engineers (PACE)