#Nvidia keynote 2016 news software#

The point Sutter made is that the large single-threaded performance gains software developers had grown accustomed to were a thing of the past and programmers were being forced to increasingly parallelize their code to take advantage of multicore processors. The talented engineers at Intel and AMD overcame this problem by adding more cores per processor- each with more instruction-level (superscalar) and data-level (SIMD) parallelism.Īdding more cores has its own implications as noted by programmer Herb Sutter in his famous 2005 essay “The Free Lunch is Over”. The first problems began to appear a decade ago when CPU manufacturers hit the “clock wall” – keeping processor speeds under 4GHZ for close to a decade now.

While the “law”, which states that number of transistors in a dense integrated circuit doubles approximately every two years, has performed for decades, it has hit a bit of a wall in recent years. The demise of Moore’s Law is a subject of open debate in the semiconductor industry. These forces have exposed the shortcomings of the CPU while highlighting the attributes of GPUs and signal a key inflection point in computing that will ultimately permeate every enterprise, from technology giants to the local credit union.

#Nvidia keynote 2016 news driver#

The driver of this change has been deep learning and machine intelligence, but the movement continues to downstream into more and more enterprise-grade applications – led in part by the explosion of data.īehind this shift is an evolving perspective of how computing should operate- one that has a particular emphasis on massive quantities of data, machine learning, mathematics, analytics and visualization. Each of these companies have significantly upgraded their investment in GPU hardware and in doing so have put legacy CPU infrastructure on notice. This movement is led by Google, Facebook, Amazon, Microsoft, Tesla, Baidu and others who have quietly but rapidly shifted their hardware philosophy over the past twelve months. Having made the improbable jump from the game console to the supercomputer, GPUs are now invading the datacenter. This post first appeared as a byline on The Next Platform in May of 2016.