Here are the three winners of our The Time is Write 2.0 competition! You can read the three articles below, but first: congrats to Dipika Rajesh, Aditi Balaji and Pratyush Singh.
The Time is Write is an article writing competition that encourages all the aspiring writers to lay out their thoughts in writin and to share them on a global platform. This year, participants had to write a short article on the topic “Your Dream Software: Revolutionize the future”, about what their idea of a perfect software might be in order to revolutionize a particular field.
October is the breast cancer awareness month. Cancer is classified as a genetic disease caused by the abnormal cell division that destroy body tissue. Wait! Cell? Body tissue? Disease? So now you might be wondering: what does this have to do with computers?
In fact, cancer research has been in the heart of life sciences for the past few decades. Since genetics play an important role in most cancers, computational methods are crucial in understanding the development of the disease as well as predicting the results of clinical trials for treatment. That’s where computer science comes into action.
Before we define the computational problem, let’s review some biology from high school and learn some facts about cancer.
Our human body consists of trillions of cells. Although each cell has the exact same DNA all over your body, every cell carries out its own function. The DNA is a long sequence of nucleotides preserved inside a cell nucleus.
Photo adapted from: The Fatal Lover, Mata Hari (2016) watch online 1080
To introduce you to Exascale computing, as well as its challenges, we interviewed the distinguished Professor Jack Dongarra (University of Tennessee), an internationally renowned expert in high-performance computing and the leading scientist behind the TOP500 (http://www.top500.org/), a list which ranks supercomputers according to their performance.
When a scientific experiment achieves the expected result, researchers hurry up to draft a manuscript, submit it and cross their fingers for acceptance. When that paper gets accepted for publication – a happy camper! However, and not much later, the researchers discover that it was a fool’s paradise. Their work never gets cited by peers. Often times, simply because others cannot reproduce their scientific experiment, i.e. they cannot compare it to their own experiments. There are few reasons that block research reproducibility. In this post, I will preview some of them that frequently appear in the field of computational science. Continue reading