Given the potential utility of brand personality for marketers, the present research conceptualizes and investigates the relationships between five brand personality dimensions and brand trust as well as brand affect. This research proposes that some brand personality dimensions relate more to brand trust, whereas other dimensions relate more to brand affect. The results suggest that Sincerity and Ruggedness brand personality dimensions are more likely to influence the level of brand trust than brand affect, whereas the Excitement and Sophistication dimensions relate more to brand affect than to brand trust. The Competence dimension appears to have similar effects on both brand trust and brand affect. The research findings are consistent with marketing and consumer researchers' assertions that brand personality can increase levels of brand trust and evoke brand affect, which in turn builds the level of brand loyalty. Theoretical and practical contributions and implications are discussed.
Datacenter workloads demand high computational capabilities, flexibility, power efficiency, and low cost. It is challenging to improve all of these factors simultaneously. To advance datacenter capabilities beyond what commodity server designs can provide, we have designed and built a composable, reconfigurable fabric to accelerate portions of large-scale software services. Each instantiation of the fabric consists of a 6x8 2-D torus of high-end Stratix V FPGAs embedded into a half-rack of 48 machines. One FPGA is placed into each server, accessible through PCIe, and wired directly to other FPGAs with pairs of 10 Gb SAS cables.In this paper, we describe a medium-scale deployment of this fabric on a bed of 1,632 servers, and measure its efficacy in accelerating the Bing web search engine. We describe the requirements and architecture of the system, detail the critical engineering challenges and solutions needed to make the system robust in the presence of failures, and measure the performance, power, and resilience of the system when ranking candidate documents. Under high load, the largescale reconfigurable fabric improves the ranking throughput of each server by a factor of 95% for a fixed latency distributionor, while maintaining equivalent throughput, reduces the tail latency by 29%.
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