ACM Queue 

About: ACM Queue is an academic journal published by Association for Computing Machinery. The journal publishes majorly in the area(s): The Internet & Computer science. It has an ISSN identifier of 1542-7730. Over the lifetime, 829 publications have been published receiving 17372 citations. The journal is also known as: Queue & Association for Computing Machinery queue.

The Mythos of Model Interpretability: In machine learning, the concept of interpretability is both important and slippery.

Abstract: Supervised machine-learning models boast remarkable predictive capabilities. But can you trust your model? Will it work in deployment? What else can it tell you about the world?

Scalable Parallel Programming with CUDA: Is CUDA the parallel programming model that application developers have been waiting for?

Abstract: The advent of multicore CPUs and manycore GPUs means that mainstream processor chips are now parallel systems. Furthermore, their parallelism continues to scale with Moore’s law. The challenge is to develop mainstream application software that transparently scales its parallelism to leverage the increasing number of processor cores, much as 3D graphics applications transparently scale their parallelism to manycore GPUs with widely varying numbers of cores.

Software and the Concurrency Revolution: Leveraging the full power of multicore processors demands new tools and new thinking from the software industry.

Abstract: Concurrency has long been touted as the "next big thing" and "the way of the future," but for the past 30 years, mainstream software development has been able to ignore it. Our parallel future has finally arrived: new machines will be parallel machines, and this will require major changes in the way we develop software. The introductory article in this issue describes the hardware imperatives behind this shift in computer architecture from uniprocessors to multicore processors, also known as CMPs.

Bufferbloat: Dark Buffers in the Internet: Networks without effective AQM may again be vulnerable to congestion collapse.

Abstract: Today’s networks are suffering from unnecessary latency and poor system performance. The culprit is bufferbloat, the existence of excessively large and frequently full buffers inside the network. Large buffers have been inserted all over the Internet without sufficient thought or testing. They damage or defeat the fundamental congestion-avoidance algorithms of the Internet’s most common transport protocol. Long delays from bufferbloat are frequently attributed incorrectly to network congestion, and this misinterpretation of the problem leads to the wrong solutions being proposed.

Eventually Consistent: Building reliable distributed systems at a worldwide scale demands trade-offs?between consistency and availability.

Abstract: At the foundation of Amazon’s cloud computing are infrastructure services such as Amazon’s S3 (Simple Storage Service), SimpleDB, and EC2 (Elastic Compute Cloud) that provide the resources for constructing Internet-scale computing platforms and a great variety of applications. The requirements placed on these infrastructure services are very strict; they need to score high marks in the areas of security, scalability, availability, performance, and cost effectiveness, and they need to meet these requirements while serving millions of customers around the globe, continuously.