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Thursday, July 7 @3 pm
Hardware Accelerators For Machine Learning: From 3d Manycore To Processing-In-Memory Architectures by Aqeeb Iqbal Arka – Dissertation Defense
Workshop / Seminar
WSU Pullman - Online

Big data applications such as – deep learning and graph analytics require hardware platforms that are energy-efficient yet computationally powerful. 3D manycore architectures are the key to efficiently executing such compute- and data-intensive applications. Monolithic 3D (M3D) integration opens up the possibility of designing cores and associated network routers using multiple layers by utilizing monolithic inter-tier vias (MIVs) and hence, reducing the effective wire length.