ILL at ease

A Deep Learning At Scale and At Ease

Recently, deep learning techniques have enjoyed success in various multimedia applications, such as image classification and multi-modal data analysis. Large deep learning models are developed for learning rich representations of complex data. There are two challenges to overcome before deep learning can be widely adopted in multimedia and other applications. One is usability, namely the implem...

Material Ease

Space is an unforgiving environment – one of harshest known to mankind. Yet, space is far less understood than other service environments in which DOD systems operate. It has been known to limit the useful life of satellites, with 20 to 25% of all mission failures being attributed to the effects of the space environment.[1] Since access to space is so costly, materials and components must funct...

The Ease Branch Predictor

Wide issue processors with many pipeline stages require e cient branch prediction for high throughput. In this paper, we propose an Embedded, Architecturally Simple and E cient (EASE) branch predictor, which performs well for programs having a small number (100) and a large number (16,000) of instructions. EASE uses a combination of a G-share predictor and a one-level predictor. In EASE, one-le...

Does Music Ease Pain

Critical care patients often experience significant pain and anxiety. These symptoms may be rooted existentially as patients endure fear and uncertainty, but disease and treatment sources are other common offenders, as are noxious environmental stimuli. Unrelieved pain induces a generalized sympathetic response (increasing heart rate, blood pressure, respiratory rate, and peripheral resistance)...

Polytypi Programming With Ease