In-Datacenter Performance Analysis of a Tensor Processing Unit

Many architects believe that major improvements in cost-energy-performance must now come from domain-specific hardware. This paper evaluates a custom ASIC---called a Tensor Processing Unit (TPU)---deployed in datacenters since 2015 that accelerates the inference phase of neural networks (NN). The heart of the TPU is a 65,536 8-bit MAC matrix multiply unit that offers a peak throughput of 92 TeraOps/second (TOPS) and a large (28 MiB) software-managed on-chip memory. The TPU's deterministic execution model is a better match to the 99th-percentile response-time requirement of our NN applications than are the time-varying optimizations of CPUs and GPUs (caches, out-of-order execution, multithreading, multiprocessing, prefetching, ...) that help average throughput more than guaranteed latency. The lack of such features helps explain why, despite having myriad MACs and a big memory, the TPU is relatively small and low power. We compare the TPU to a server-class Intel Haswell CPU and an Nvidia K80 GPU, which are contemporaries deployed in the same datacenters. Our workload, written in the high-level TensorFlow framework, uses production NN applications (MLPs, CNNs, and LSTMs) that represent 95% of our datacenters' NN inference demand. Despite low utilization for some applications, the TPU is on average about 15X - 30X faster than its contemporary GPU or CPU, with TOPS/Watt about 30X - 80X higher. Moreover, using the GPU's GDDR5 memory in the TPU would triple achieved TOPS and raise TOPS/Watt to nearly 70X the GPU and 200X the CPU.Comment: 17 pages, 11 figures, 8 tables. To appear at the 44th International Symposium on Computer Architecture (ISCA), Toronto, Canada, June 24-28, 201

Good for the Self:Self-Compassion and Other Self-Related Constructs in Relation to Symptoms of Anxiety and Depression in Non-clinical Youths

This study examined relationships among self-compassion, self-esteem, and self-efficacy and symptoms of anxiety disorders and depression in a sample of 132 non-clinical adolescents aged 12-17 years. The results first of all indicated that the Shortened Self-Compassion Scale for Adolescents was reliable (i.e., all Cronbach's alphas were >.70) and valid in terms of both construct (as demonstrated by a principal components analysis which revealed the hypothesized three-factor structure) and concurrent validity (i.e., as shown by means of positive correlations with self-esteem and self-efficacy). Further, the expected negative correlations were found between self-compassion and anxiety and depression, indicating that higher levels of this self-related construct are associated with lower symptom levels, and vice versa. Of the three components of self-compassion, mindfulness appeared most convincingly related to symptoms of anxiety and depression. Finally, when controlling for other self-related constructs, self-compassion no longer accounted for a significant proportion in the variance of symptom levels. In contrast, self-esteem (depression) and in particular self-efficacy (anxiety and depression) did show unique explanatory power

The role of explicit and implicit self-esteem in peer modeling of palatable food intake: A study on social media interaction among youngsters

Contains fulltext : 116712.pdf (publisher's version ) (Open Access)Objective: This experimental study investigated the impact of peers on palatable food intake of youngsters within a social media setting. To determine whether this effect was moderated by self-esteem, the present study examined the roles of global explicit self-esteem (ESE), body esteem (BE) and implicit self-esteem (ISE). Methods: Participants (N = 118; 38.1% boys; M age 11.14 +/-.79) were asked to play a computer game while they believed to interact online with a same-sex normal-weight remote confederate (i.e., instructed peer) who ate either nothing, a small or large amount of candy. Results: Participants modeled the candy intake of peers via a social media interaction, but this was qualified by their self-esteem. Participants with higher ISE adjusted their candy intake to that of a peer more closely than those with lower ISE when the confederate ate nothing compared to when eating a modest (beta = .26, p = .05) or considerable amount of candy (kcal) (beta = .32, p = .001). In contrast, participants with lower BE modeled peer intake more than those with higher BE when eating nothing compared to a considerable amount of candy (kcal) (beta = .21, p = .02); ESE did not moderate social modeling behavior. In addition, participants with higher discrepant or "damaged" self-esteem (i.e., high ISE and low ESE) modeled peer intake more when the peer ate nothing or a modest amount compared to a substantial amount of candy (kcal) (beta = -.24, p = .004; beta= -.26, p < .0001, respectively). Conclusion: Youngsters conform to the amount of palatable food eaten by peers through social media interaction. Those with lower body esteem or damaged self-esteem may be more at risk to peer influences on food intake.11 p