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In this work, the hardware implementation of a digital mismatched pulse compressor and its application to a pulse-Doppler radar system are presented.
In this work, the hardware used was one single node of the GPU computing platform of QIBEBT, CAS (Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy Sciences) computing platform that had the following configuration: CPU: Dual Intel Xeon X5645 2.66 GHz with 12 cores, GPU: nVIDIA Tesla C2070 with 448 processors and 6G DDR5 ECC on board memory, RAM: 72 GB RDIMM DDR3.
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This work presents the hardware implementation of an efficient correlator for complementary sets of four sequences and its application to an ultrasonic pulse compression system.
In this work, the design of a hardware component to accelerate reasoning operations on semantic trees by means of an FPGA based platform is presented.
Compared to earlier work, the hardware utilization was substantially reduced.
Skunk works: The hardware development firm NK Labs is prototyping Project Ara modules for Google from this two-story concrete-block building in Cambridge, Massachusetts, next to a towing yard.
In this work, novel hardware and software were developed to automate the microraft array platform.
This work debundles hardware resources into fine-grain units and connects the fine-grain resources with several switched on-chip networks.
For this reason, we propose in this work a hardware implementation for our scheduling heuristic.
In this work are discussed the hardware solutions adopted to cope with the various constraints posed by this space borne detector.
This session will focus on Google engineers (and Berkeley alum!) who work on the hardware team.
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