A Survey on Vector Representations of Meaning : the papers present an overview of the current state of word vector model research space. The survey is quite useful when you need to choose a vector model for your NLP application as each model comes with different tradeoffs.
EverLaw GDPR documentation Template: Highly practical and down to earth document helping you classify your current status regarding GDPR and understand what exposure you have to it. To some extent, this is almost a must fill the first step for any company out there that deals with individuals information.
A Survey of Techniques for Dynamic Branch Prediction : with all the spectre and meltdown attack, this paper is a good refresher on what is dynamic branch prediction, how it works and why we need these techniques.
Cgo and Python : When you want to run python in your go, and you realise that the python threading model is still a pain in the $"!$*(^!& .
Testing distributed systems : Curated list of resources on testing distributed systems. Thre is no silver bullet, just sweat, blood and broken systems.
The Question of Quantum Supremacy : Google folks are trying to determine the smallersmallest computational task that is prohibitively hard for today’s classical computers but trivial for quantum computer. This is the equivalent of hello world for a quantum computer and is critical to validate quantum computer capability and correctness.
Archi : open source modelling tool to create ArchiMate models and sketches. If you ever look at TOGAF or use the enterprise architecture principle, this tool is for you.
The TLA+ Video Course : if you ever had to design a distributed system and spend the sleepless night thinking about edge cases TLA+ is a godsend. You just spec your system & go. It also gives a huge decrease in cognitive load when you're implementing your system against a TLA+ spec. The hard stuff is already done. You can just glance at the spec to see what preconditions must be checked before an action is performed. No pausing halfway through writing a function as you suddenly think of an obscure sequence of events that breaks your code.
ReLaXed : generate PDF from HTML. It supports for Markdown, LaTeX-style mathematical equations, CSV conversion to HTML tables, plot generation, and diagram generation. Many more features can be added simply by importing an existing JavaScript or CSS framework.
Quantum algorithms: an overview : survey some known quantum algorithms, with an emphasis on a broad overview of their applications.
Evolution and challenges of Tofu Interconnect : Deep learning and heterogeneous hardware is putting a strain on HPC interconnect. They need to adapt to new application communication model as well as hardware while retaining best of breed capability for "traditional" HPC application.
Satellite-to-ground quantum key distribution : this is ground breaking from Chinese scientists. Where they demonstrate they are able to solve the main hurdle behind planet-wide quantum communication by leveraging satellite to satellite quantum crypto key distribution. And they are deploying a proof of concept!
Badger : nice key/value store written in go. It's based on Wiskey paper and is heavily optimised for SSD. It's 3.5 faster than rocksDB .[github]
DeepSecure : a framework that enables scalable execution of the state-of-the-art Deep Learning models in a privacy-preserving setting. The authors propose a system that enables data owner and model owner to maintain segregation of information while allowing them to work together without data leak between the two parties.
Quantum-secured blockchain : The authors propose in this paper a quantum blockchain architecture specifically designed to solve the post-quantum computer cryptographic weakness of currently used crypto algorithms in Bitcoin and other blockchain frameworks. However, it seems that they conveniently ignore newer cryptographic solutions that are "quantum resistant".
Survey of Neuromorphic Computing and Neural Networks in Hardware : heterogeneous hardware solutions are becoming the norm as classic CPU are not able to handle the bandwidth and processing power. Seriously, how a Intel or AMD CPU can process 1 Tb/S of bandwidth ... Anyway, as machine learning is reaching peak hype, the hardware that comes to accelerate it is getting more mainstream and diverse. This paper provides a good overview of the various technic and hardware used in the field. Moreover, it references an exhaustive collection of papers of the field.
Intel Manufacturing Conf : sets of slide deck giving a peek into Intel manufacturing process and the upcoming wave of 10 nm chips. It seems Intel is currently keeping up with Moore's law, not by reducing the transistor size but by also increasing transistor density.
Serverless Conf video : almost all video are now available. Check out the Serverless at Nordstrom video. This is, in my view, the best of the bunch. It's an actual practical talk by the dev who implemented it and without marketing spin.
Consistency in Non-Transactional Distributed Storage Systems : This paper tries to provide a comprehensive overview of different consistency notions that appeared in distributed systems with a focus on storage systems. The authors define 50 different consistency notions, ranging from linearizability to eventual and weak consistency which is subsequently mapped to different practical systems and research prototypes.
Flame Graph : ACM queue article on the necessity of good visualization tool for profiling , debugging, and optimizing computing systems.
Quantum Bitcoin : In this paper the authors describe a Bitcoin-like currency that runs on a quantum computer using the non-cloning quantum property. While not everybody has (yet) the luxury to have a quantum computer, the solution presented offers several advantages over classical Bitcoin, including immediate local verification of transactions with full anonymity for the users, no transaction fees and the system can scale to any transaction volume. Now you just need a quantum computer :)
Quantum Computing as a Service : Stanford seminar on "Quantum Computing as a Service" by Matt Johnson & Randall Correll of QCWare. What is stand out from most of the talk is that quantum computing is really a solution looking for a problem. You can speed up certain problem solving by an order of magnitude but paying customers with this type of problems seems scares. It can just be an educational problem and it seems they are trying to tackle this aspect well. However, they didn't talk about the elephant in the room : breaking cryptography for fun and profit. Maybe to sensitive of a topic?
Multidimensional Access Methods : 1996 paper showing how hard it is to resolve multidimensional queries . List the state of the art approach which are still relevant to date.
Cloudlets : I think I linked to cloudlets before, but I'll do it again jsut to remind myself to actually use them. Cloudlets are universal server images for the cloud. They're lightweight, version-controlled, and you can export them to any bootable format known to man: Xen, KVM, Amazon EC2, or just a plain bootable CD.
Shmoocon 2016 : excellent security conference , especially check out the post quantum crypto talk by Jean-Philippe Aumasson
Bonus : video demonstrating CISE tool for proving distributed systems correctness
Post-quantum key agreement : First, 99% of people out their do not use encryption correctly, so you should not be worried about post quantum crypto because you are not protecting yourself in the pre-quantum era. Now if you are part of the 1%, bad news you key size just jump from a couple of Kbytes to Mbytes (and maybe GB)... Very good read explaining the challenges ahead and existing gap of crypto solution in the upcoming post quantum era.
ARM virtualization extensions : In depth look at the ARM virtualization feature. Maybe we can see a glimpse of what can be done with the AMD ARM server push.
Scalable C : book on how to make C scalable by the founder of ZeroMQ. Some good things, some bad one, a lot of grief toward C++. I personally love the C language but sometimes pitting one language against another doesn't help without context. Pick the tools that suits best and sometimes yes it means picking the one that makes collaboration efficient rather than make the code efficient.
Concurrency kit : Concurrency primitives, safe memory reclamation mechanisms and non-blocking data structures for the research, design and implementation of high performance concurrent systems. [github]
