Turning the crank for machine learning: ease, at what expense?

Distributed Machine Learning - but at what COST?

Training machine learning models at scale is a popular workload for distributed data flow systems. However, as these systems were originally built to fulfill quite different requirements it remains an open question how effectively they actually perform for ML workloads. In this paper we argue that benchmarking of large scale ML systems should consider state of the art, single machine libraries ...

What is the crank of a partition?

The crank of an integer partition is an integer statistic which yields a combinatorial explanation of Ramanujan’s three famous congruences for the partition function. The existence of such a statistic was conjectured by Freeman Dyson in 1944 and realized 44 years later by George Andrews and Frank Gravan. Since then, groundbreaking work by Ken Ono, Karl Mahlburg, and others tells us that not onl...

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...

What is the Clinical Skills Learning Center?

With shorter periods of hospitalazation, fewer patient beds and more health care facilities in the society, patients are now more acutely ill and highly dependent, causing less opportunities for medical students to practice and learn basic clinical skills. On the other hand, enhanced patient rights and other learnig limitations require that professional education provide not only knowledge and ...

At the Expense of the Country: Multi-level War Economy in Afghanistan and the Implication for Peace