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Developing heterogeneous system with hardware accelerator is a promising solution to implement high performance applications where explicitly programmed, rule-based algorithms are either infeasible or inefficient. However, mapping a neural network model to a hardware representation is a complex process, where balancing computation resources and memory accesses is crucial. In this work, we present...
The research on complex Brain Networks plays a vital role in understanding the connectivity patterns of the human brain and disease-related alterations. Recent studies have suggested a noninvasive way to model and analyze human brain networks by using multi-modal imaging and graph theoretical approaches. Both the construction and analysis of the Brain Networks require tremendous computation. As a...
Google's famous PageRank algorithm is widely used to determine the importance of web pages in search engines. Given the large number of web pages on the World Wide Web, efficient computation of PageRank becomes a challenging problem. We accelerated the power method for computing PageRank on AMD GPUs. The core component of the power method is the Sparse Matrix-Vector Multiplication (SpMV). Its performance...
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