PROJECT TITLE :

Parallel low-density parity check decoding on a network-on-chip-based multiprocessor platform

ABSTRACT:

Low-density parity check (LDPC) codes can achieve performances close to the Shannon limit and they have been widely adopted for various Communication standards. However, the irregular message exchange pattern of LDPC codes is a major challenge for decoder design. Additionally, there is a great demand for integrating diverse applications onto a single system where a flexible, scalable and efficient implementation of LDPC decoding is highly preferable. With the enormous computing power provided by integrating many processors on a single chip in advanced process technology, a multiprocessor platform is regarded as a promising solution to tackle these design challenges. In this work, we devised a parallelisation scheme to implement LDPC decoding on a multiprocessor platform. By using a distributed and cooperative way for LDPC decoding, the memory bottleneck, commonly seen in LDPC decoder design, is eliminated. Moreover, we used a graph spectra-based mapping algorithm to reduce heavy message exchanges among processors during the decoding process. Compared to the sequential mapping strategy, our approach has successfully decreased the amount of inter-processor Communication by up to 48%/45%/40% for 16/32/64-processor platforms, respectively. Cycle-accurate simulation results from various LDPC codes demonstrate that desirable scalability and speedups are obtained by our approach.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE : Parallel Fractional Hot-Deck Imputation and Variance Estimation for Big Incomplete Data Curing ABSTRACT: The fractional hot-deck imputation, also known as FHDI, is a method for handling multivariate missing data
PROJECT TITLE : Large Scale Tensor Factorization via Parallel Sketches ABSTRACT: In recent years, tensor factorization methods have seen a rise in their level of popularity. Tensors are appealing for a number of reasons, one of
PROJECT TITLE : Scheduling Real-Time Parallel Applications in Cloud to Minimize Energy Consumption ABSTRACT: The concept of cloud computing has emerged as an important paradigm in recent years. Cloud computing enables users to
PROJECT TITLE : PPD: A Scalable and Efficient Parallel Primal-Dual Coordinate Descent Algorithm ABSTRACT: One of the most common approaches to optimization is called Dual Coordinate Descent, or DCD for short. Due to the sequential
PROJECT TITLE : Parallel Attentive Correlation Tracking ABSTRACT: There is evidence to suggest that visual attention and selection in humans may be processed in simultaneously, based on psychological and cognitive results. This

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry