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A Framework For Ultra Low-Power Hardware Accelerators Using NNs For Embedded Time Series Classification


In embedded applications that use neural networks (NNs) for classification tasks, it is important to not only minimize the power consumption of the NN calculation, but of the whole system. Optimization approaches for individual parts exist, such as quantization of the NN or analog calculation of arithmetic operations. However, there is no holistic approach for a complete embedded system design ... » read more

FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator


Abstract: "Recent work demonstrated the promise of using resistive random access memory (ReRAM) as an emerging technology to perform inherently parallel analog domain in-situ matrix-vector multiplication—the intensive and key computation in deep neural networks (DNNs). One key problem is the weights that are signed values. However, in a ReRAM crossbar, weights are stored as conductance of... » read more

Hardware Architecture and Software Stack for PIM Based on Commercial DRAM Technology


Abstract: "Emerging applications such as deep neural network demand high off-chip memory bandwidth. However, under stringent physical constraints of chip packages and system boards, it becomes very expensive to further increase the bandwidth of off-chip memory. Besides, transferring data across the memory hierarchy constitutes a large fraction of total energy consumption of systems, and the ... » read more

SARA: Scaling a Reconfigurable Dataflow Accelerator


Yaqi Zhang, Nathan Zhang, Tian Zhao, Matt Vilim, Muhammad Shahbaz, Kunle Olukotun (Stanford) Abstract—"The need for speed in modern data-intensive workloads and the rise of “dark silicon” in the semiconductor industry are pushing for larger, faster, and more energy and areaefficient architectures, such as Reconfigurable Dataflow Accelerators (RDAs). Nevertheless, challenges remain in d... » read more

Challenges In Developing A New Inferencing Chip


Cheng Wang, co-founder and senior vice president of software and engineering at Flex Logix, sat down with Semiconductor Engineering to explain the process of bringing an inferencing accelerator chip to market, from bring-up, programming and partitioning to tradeoffs involving speed and customization.   SE: Edge inferencing chips are just starting to come to market. What challenges di... » read more

NN-Baton: DNN Workload Orchestration & Chiplet Granularity Exploration for Multichip Accelerators


"Abstract—The revolution of machine learning poses an unprecedented demand for computation resources, urging more transistors on a single monolithic chip, which is not sustainable in the Post-Moore era. The multichip integration with small functional dies, called chiplets, can reduce the manufacturing cost, improve the fabrication yield, and achieve die-level reuse for different system scales... » read more

Verifying PULPino RISCY Core For A Google Accelerator With STING


Authors: Shubhodeep Roy Choudhury1, Shajid Thiruvathodi2, Vaidyanathan Seetharaman3, Matt Cockrell4, Jon Michelson5, Jason Redgrave6 Valtrix Technologies Private Limited, Bangalore, INDIA1, 2 Google Inc., Mountain View, USA3,4,5,6 Abstract: — Google uses the PULPino RISC-V core RISCY as a job scheduling and dispatch mechanism for a hardware accelerator (similar to a GPU controller). This... » read more

ML Opening New Doors For FPGAs


FPGAs have long been used in the early stages of any new digital technology, given their utility for prototyping and rapid evolution. But with machine learning, FPGAs are showing benefits beyond those of more conventional solutions. This opens up a hot new market for FPGAs, which traditionally have been hard to sustain in high-volume production due to pricing, and hard to use for battery-dri... » read more

AiMotive Is EDA For Self-Driving Cars


The team at aiMotive, a tool and IP company for OEMs making automated vehicles, isn’t waiting for smart infrastructure or 5G to make self-driving cars possible. The four-year-old startup based in Budapest, Hungary, is taking a self-sustainable route for the foreseeable future. The key to staying in business is not to compete with Waymo, Cruise or automotive companies, but to build the softwar... » read more

Fundamental Shifts In 2018


What surprised the industry in 2018?  While business has been strong, markets are changing, product categories are shifting and clouds are forming on the horizon. As 2018 comes to a close, most companies are pretty happy with the way everything turned out. Business has been booming, new product categories developing, and profits are meeting or beating market expectations. "2018 was indeed a... » read more

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