Deep learning algorithms have become pervasive in a broad range of industrial application
scenarios. DianNao/Cambricon family is a set of energy-efficient hardware accelerators for …

Machine-Learning tasks are becoming pervasive in a broad range of domains, and in a
broad range of systems (from embedded systems to data centers). At the same time, a small …

Deep learning (DL) workloads are moving towards accelerators for faster processing and
lower cost. Modern DL accelerators are good at handling the large-scale multiply …

Machine Learning (ML) tasks are becoming pervasive in a broad range of applications, and
in a broad range of systems (from embedded systems to data centers). As computer …

Co-optimization of hardware and software in modern deep neural network (DNN) systems
can be performed using design space exploration (DSE) tools. Leveraging estimation …

As Machine Learning (ML) becomes pervasive in the era of artificial intelligence, ML specific
tools and frameworks are required for architectural research. This paper introduces …

Many hardware vendors have introduced specialized deep neural networks (DNN)
accelerators owing to their superior performance and efficiency. As such, how to generate …

Machine-learning tasks are becoming pervasive in a broad range of domains, and in a
broad range of systems (from embedded systems to data centers). At the same time, a small …

Advances in multicore processors and accelerators have opened the flood gates to greater
exploration and application of machine learning techniques to a variety of applications …

Traditional computers with von Neumann architecture are unable to meet the latency and
scalability challenges of Deep Neural Network (DNN) workloads. Various DNN accelerators …