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Efficient Multi-GPU Shared Memory via Automatic Optimization of Fine-Grained Transfers


Harini Muthukrishnan (U of Michigan); David Nellans, Daniel Lustig (NVIDIA); Jeffrey A. Fessler, Thomas Wenisch (U of Michigan). Abstract—"Despite continuing research into inter-GPU communication mechanisms, extracting performance from multiGPU systems remains a significant challenge. Inter-GPU communication via bulk DMA-based transfers exposes data transfer latency on the GPU’s critical... » read more

Embedded Multicore: Enablement Of Heterogeneous OSes And Mixed Criticality Systems


The implementation of multicore embedded systems is becoming increasingly common. The decision to realize a design using multiple processors may be influenced by a number of factors; broadly these are technical goals to attain, a time to market to achieve, and target design and production costs. Using multicore in a design requires a number of key decisions, which, as with most embedded systems... » read more

Creating Software Separation For Mixed Criticality Systems


The continued evolution of powerful embedded processors is enabling more functionality to be consolidated into single heterogeneous multicore devices. Mixed criticality designs, those designs which contain both safety-critical and non-safety critical processes, can successfully leverage these devices and meet the regulatory requirements for IEC safety standards and the highest level of ISO. Thi... » read more