In our previous exploration of graph analytics, we uncovered the transformative power of GPU-CPU fusion using NVIDIA cuGraph. Building upon those insights, we now introduce a revolutionary new architecture that redefines the boundaries of graph processing. During our earlier foray into graph analytics, we faced various challenges with the architecture we utilized. While effective…
]]>From credit card transactions, social networks, and recommendation systems to transportation networks and protein-protein interactions in biology, graphs are the go-to data structure for modeling and analyzing intricate connections. Graph neural networks (GNNs), with their ability to learn and reason over graph-structured data, have emerged as a game-changer across various domains. However…
]]>Dynamic programming (DP) is a well-known algorithmic technique and a mathematical optimization that has been used for several decades to solve groundbreaking problems in computer science. An example DP use case is route optimization with hundreds or thousands of constraints or weights using the Floyd-Warshall all-pair shortest paths algorithm. Another use case is the alignment of reads for…
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