5,229 research outputs found
Elastic-DF: Scaling Performance of DNN Inference in FPGA Clouds through Automatic Partitioning
No full textCustomized compute acceleration in the datacenter is key to the wider roll-out of applications based on deep neural network (DNN) inference. In this article, we investigate how to maximize the performance and scalability of field-programmable gate array (FPGA)-based pipeline dataflow DNN inference accelerators (DFAs) automatically on computing infrastructures consisting of multi-die, network-connected FPGAs. We present Elastic-DF, a novel resource partitioning tool and associated FPGA runtime infrastructure that integrates with the DNN compiler FINN. Elastic-DF allocates FPGA resources to DNN layers and layers to individual FPGA dies to maximize the total performance of the multi-FPGA system. In the resulting Elastic-DF mapping, the accelerator may be instantiated multiple times, and each instance may be segmented across multiple FPGAs transparently, whereby the segments communicate peer-to-peer through 100 Gbps Ethernet FPGA infrastructure, without host involvement. When applied to ResNet-50, Elastic-DF provides a 44% latency decrease on Alveo U280. For MobileNetV1 on Alveo U200 and U280, Elastic-DF enables a 78% throughput increase, eliminating the performance difference between these cards and the larger Alveo U250. Elastic-DF also increases operating frequency in all our experiments, on average by over 20%. Elastic-DF therefore increases performance portability between different sizes of FPGA and increases the critical throughput per cost metric of datacenter inference. Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Computer Engineerin
Mr. Joe Johnson
No full textQuantity cooking was a specialty of Mr. Joe Johnson, North Carolina Baptist Hospital cafeteria baker. The cafeteria was located on the first floor of the Main building in 1967, although this photograph is not dated
Dr. Archie T. Johnson
No full textIn July 1970, Dr. Archie T. Johnson was appointed to the Medical School faculty and was active in the teaching and patient care programs of the Department of Pediatrics. In December 1970, an intensive care nursery for babies opened naming neonatologist, Dr. Johnson, as director of newborn services. In addition to pre-mature infant care, the nursery provided the opportunity for North Carolina Baptist Hospital to conduct a program of education which proved to be beneficial to babies in all parts of the state. The program was sponsored by the State Board of Health, allowing two nurses from other hospitals to come and spend a month in the nursery learning how to take care of certain infant problems. They then returned to their own hospitals and used this knowledge in the care of sick babies and in teaching other nurses. Dr. Johnson and his associates also conducted training services and symposiums for other doctors.Information from Around the Medical Center, December 1970 and February 1971; Baptist Hospital Topics, vol. 16, no. 1, March 1971, p.
The DF Structure Models for Options Pricing On the Dividend- Paying and Capital-Splitting
No full textBased on the DF structure models for option pricing (F. Dai, 2005), this paper discusses further the DF structure models on three cases, i.e., the underlying stock being dividend-paid, capital-split or dividend-paid and capital-split. These three cases are discussed separately, and are integrated to the general models for call or put. Finally, the examples are given to compare the options prices calculated by the DF formulas and Black-Scholes formulas, and they show, as a whole, that the DF formulas are not inferior to Black-Scholes formulas. DF formula is useful to traders in financial market because it is convenient to adjust along with the trading time.DF structure model, options pricing, dividend-paying, capital- splitting
Hydrodynamical turbulence by fractal fourier decimation
No full textWe present a systematic numerical investigation of high-resolution 3D isotropic and homogeneous turbulence resolved on a decimated set of Fourier modes. Fractal decimation acts to decrease the effective dimensionality of the flow by allowing triadic interactions only in a set of Fourier modes N(k) proportional to k^DF for large k. While keeping the symmetries of the original 3D Navier-Stokes equations unchanged, a dramatic change in small-scale statistics is detected at decreasing the fractal dimension DF . Already at fractal dimension DF = 2.8, a global self-similar behaviour is observed in the inertial range of scales, the consequence of such transition are the restoration of the scaling symmetry and vorticity distribution that becomes close to Gaussian. We relate the results to the different roles of local vs non-local interactions in the energy transfer range
'Response by the author, Daniel F. Vukovich.'
No full textResponse by the author (Vukovich) to a review of Illiberal China (my 2019 monograph
Education for All? Transforming Educational Provision for the Inclusion of Street Children in Brazil
No full text- …
