A short interview writeup in Wired magazine with yours truly!
A short interview writeup in Wired magazine with yours truly!
https://www.wired.com/story/space-nerds-at-the-beach-aerospace-games/
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@ernestyalumni
A short interview writeup in Wired magazine with yours truly!
A short interview writeup in Wired magazine with yours truly!
https://www.wired.com/story/space-nerds-at-the-beach-aerospace-games/
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C++11/14/17 and Algebra
I was able to settle on a flexible C++ interface hierarchy (cf. Ch. 21 Class Hierarchies of Bjarne Stroustrupâs book, The C++ Programming Language) for groups and rings with concrete examples of integers as a group, and real numbers as a ring (or field):
https://github.com/ernestyalumni/mathphysics/tree/master/CppMath/Groups
https://github.com/ernestyalumni/mathphysics/tree/master/CppMath/Rings
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CUDA Linear Memory and the Rule of 5 for C++11/14 classes.
CUDA Linear Memory and the Rule of 5 for C++11/14Â classes.
I was reviewing copy and move operations (constructors and assignment) and the âRule of 5â in C++11/14 and applied them to CUDA linear memory on the device GPU.
Here are C++11/14 classes employing RAII (Resource Acquisition Is Initialization) for what CUDA calls linear memory for device GPUs.
https://github.com/ernestyalumni/HrdwCCppCUDA/blob/master/Cpp14/Strou/ctor_17/LinearMemory/LinearMemory.h
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NVIDIA Caffe fork install in Fedora 25 Workstation, CUDA 9, CUDNN 7, no nccl
So I was at the NVIDIA Deep Learning Institute Lunch & Labs at the NIPS 2017 (Neural Information Processing Systems) conference and the first lab was using Caffe with DIGITS. I was sitting in front of a colleague who had experience with Caffe offline, and he suggested I install the NVIDIA fork of Caffe, NVCaffe. I found it to be slightly easier to install than Berkeleyâs Caffe, with its source
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Installation and getting things to work together: Fedora 25 Workstation (not 26), gcc 6 (not 7) for CUDA 9, CUDNN 7, not Tensorflow 1.3 (maybe Tensorflow 1.4?), not theano 1.0 (native CUDA backend no longer exists on theano =((((
Installation and getting things to work in Fedora 25 Linux, CUDA 9, CUDNN 7, no Tensorflow 1.3
I was on Fedora 23 Workstation and then beginning of last month, I decided to upgrade.  Fedora Linuxâs upgrade cycle is âparticularâ (every half year or so, no LTS (long-term support) like Ubuntu Linux, itâs an entirely new kernel so for a âclean installâ so that youâre not having an old version laying around, youâll have to remove entirely the previous version (and your files, so I backed upâŚ
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Cristoforo Colombo, 1492, 2017
Cristoforo Colombo, 1492, 2017
I do my best to work out DAILY to avoid the back pain, migraines, high blood pressure/cholesterol, colon problems (real talk, if you sit on your ass in front of a computer at work and at home for years, it becomes a problem (hemorrhoids, anal tearing, colon hemorrhaging)). In California, with yearly temperate and hot weather, I find it super convenient to workout outside, in the park. I run 1.7âŚ
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Bringing CUDA into the year 2011: C++11 smart pointers with CUDA, CUB, nccl, streams, and CUDA Unified Memory Management with CUB and CUBLAS
Bringing CUDA into the year 2011: C++11 smart pointers with CUDA, CUB, nccl, streams, and CUDA Unified Memory Management with CUB and CUBLAS
The github repository folder for all this code is here: https://github.com/ernestyalumni/CompPhys/tree/mobile/moreCUDA/CUDACpp11
Summary
First, I was motivated by the need to load large arrays onto device GPU global memory, sometimes from batches of CPU host memory for machine learning/deep learning applications. This could also be necessitated by the bottleneck of having only so much dataâŚ
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GPU accelerated tensor networks.
GPU accelerated tensor networks.
After participating in the Global AI Hackathon San Diego (June 23-25, 2017), where I implemented my own Python classes for Deep Neural Networks (with theano), I decided to ârelaxâ by trying to keep abreast of the latest developments in theoretical physics by watching YouTube videos of lectures on the IHĂS channel (Institut des Hautes Ătudes Scientifiques).
After watching Barbonâs introductory talk
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Learning. cf. nvidia-smi -l 1 , -l for loop, 1 for every 1 second, monitor GPU usage on NVIDIA GPU. But yeah, the 980Ti is "learning."
I thought y'all might appreciate this selfie i took in the middle of the night before my job talk
Job talk?

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Machine Learning (ML), Deep Learning stuff
Machine Learning (ML), Deep Learning stuff
A lot has already been said about Machine Learning (ML), Deep Learning, and Neural Networks. Note that this blog post (which Iâll infrequently update) is the âmirrorâ to my github repository github: ernestyalumni/MLgrabbag . Go to the github repo for the most latest updates, code, and jupyter notebooks.
A few things bother me that I sought to rectify myself:
There ought to be a clear dictionaryâŚ
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I donât know, I just cannot stand to do math anymore (anymore, not even at times like this). How can I justify spending my life mentally masturbating 15 hours a day. I need to do something, anything. Not even necessarily do something about the situation in the country, just something. Not even direct action, just something. On Wednesdays and Sundays I go and clean kitty cages for three hours. While Iâm doing that, the adoption counselor has their time freed up to talk to more customers and tell them about kitties, and possibly facilitate kitty adoption. Kitties are slightly more likely to get a home.
Something.
Did you ever go to a conference, or a workshop, and met with LITERALLY EVERYONE on the planet that could possibly or remotely understand your specialized area or field?
What do you think of Francis Su's thoughts on the mathematical community and ways the study of math serve humanist values? ("Mathematics of Human Flourishing" on mathyawp wordpress)
well this is of course a wonderfully written address
It makes a very good point of why we should be teaching mathematics better, and why we should be teaching better mathematics. It wonderfully describes the pleasures and challenges and necessity of learning new mathematics. It is absolutely correct about how we should approach and treat the students who are interested in mathematics.
it also does absolutely nothing to address professional mathematical research. This article is not about or for people who are at or beyond PhD level.
âMath is very important because iPhones and gravityâ, we and the students are told. I highly doubt that chromatic homotopy theory has or will ever have any impact or importance for anyone outside a hundred people community of like-minded mathematicians. As much as I hate the âif you canât explain to your grandmother argumentâŚâ it does have a certain merit, but the moral should not be âthen you donât understand what youâre doingâ but âyou are probably in a historically wrong fieldâ.Â
Of course math is wonderful and beautiful and importantâŚ.Except that not all math is beautiful â and most âlive-actionâ math is far from being so. Math is beautiful because we polished it over dozens of years. Not a single theorem that you prove in grad school or beyond will be beautiful. Maybe someone in 10 years will rediscover it, put it into a broader context, apply newly-established techniques, write a textbook, and two generations later some students will read your theorem and marvel at the beauty of math. You wonât. You will hate your theorem for not being beautiful â because at that time it wonât be.
Except that not all math is important. Do you think that all the math we learn is all the math there ever was? Do you think that every PhD thesis that has ever been written is a small part of a small proposition is one of your textbooks?Â
I hear that argument often â yes what Iâm doing is not immediately important, but it just means someone else will not have to do that, can build on that etc.. But do you really believe that? Do you really believe that there is a certain uniform progression in mathematics, and that every single brick laid down by every single PhD student is a foundation for something that will some time in the future be used by someone outside the narrow community of experts? If so, godspeed. I hope you have great time in grad school (but you probably wonât).Â
We all know that a PhD dissertation is about some very narrow and specialized thing in your field. But I am also in a highly narrow and specialized field of mathematics. Probably second or third most specialized field currently. The level of narrowness and specialization achieved by my thesis is such that it would be silly and frankly irresponsible of me to believe it will ever be of benefit to anyone, even other mathematicians. And even if my field wasnât so narrow: I am not a great mathematician. I know my own skill, and I know my own limitations. I am not Andrew Wiles â and few of you probably are. I will never have a result that will have have any impact on mathematical community, much less on community in general. The only purpose of my PhD is to satisfy me, my needs â that are so eloquently described in the article.Â
Did you ever go to a conference, or a workshop, and met with LITERALLY EVERYONE on the planet that could possibly or remotely understand your specialized area or field?
La topologie est precisement la discipline mathematique qui permet la passage du local au global. -R. Thom, Stabilitie Structurelle, et Morphogenese, 1972
La topologie est precisement la discipline mathematique qui permet la passage du local au global. -R. Thom, Stabilitie Structurelle, et Morphogenese, 1972
SpaceX Falcon 9 first stage in the final moments of its flight during the launch of the Iridium-1 mission earlier this month.
Carrying a total of ten Iridium-NEXT satellites, Iridium-1 starts the process of replacing the legacy Iridium satellite phone network. These satellites have much longer design lifespans, higher bandwidth, and can handle far more traffic than their predecessors⌠and the lack of the large polished aluminum transmitter plane arrays will finally eliminate the infamous âIridium Flaresâ that have plagued stellar photography and observations for the last 20 years.
Roaring aloft from Vandenburg AFBâs SLC-4 at 9:54am PST, the Falcon 9 headed south out over the Pacific Ocean with the ten satellite of the Iridium-1 mission safely tucked away in the fairing atop the second stage.
The first stage carried the second stage and payload through the thickest part of the atmosphere and added about 1/7th of the downrange velocity needed to reach orbit before detaching and flipping end-for-end and firing three of its nine engines for several seconds to reduce its downrange velocity and put the stage on a rough course for the targeted LZ, the Autonomous Spaceport Drone Ship (ASDS)Â âOf Course I Still Love Youâ.
This was followed by the entry burn, a unique aspect of the Falcon 9 mission profile. Due to the high speeds of entry and the lack of a high-performance thermal protection system, SpaceX has adopted what the industry calls âhypersonic retropropulsionâ to protect the first stage as it reenters the atmosphere. This slows the stage from 6 times the speed of sound to about 2.5 times, and provides a much finer trajectory correction to help put the stage on track for recovery.
While all this excitement is happening with the first stage, the second stage has been pushing to orbit, going from about 1km/s to, at this point, around 5.5km/s. (For those of you who donât know metric, thatâs REALLY freaking fast.) The fairing which has protected the ten satellites of the payload has been ejected, as it no longer needed to keep even the most tenuous wisps of atmosphere off the satellites.
Back at the first stage, the four sets of grid fins at the top of the booster have steered the stage to a pre-determined point in space above the ASDS, and the centermost engine lights for a fourth and final time. With a maximum thrust of nearly 100 tons, the engine provides an incredible thrust to weight ratio at this point in the flight. As a result, the engine is throttled back to around 70%, which is still a staggering 70 TONS of thrust⌠which is still more than the stage weighs!
Careful management of that thrust allows the onboard computer to put the stage at a dead stop right as it touches down on the ASDS, and the stage has successfully been returned to Earth.
High above the Pacific Ocean, the second stage completes most of the push to orbit and shuts down its engine, entering a 30 minute coast phase before a final burn to enter the target orbit, followed by the dispersal of the satellites.

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mathphysics
I will try to collect my notes and solutions on math and physics, and links to them here.
(Notes and) Solutions for Mikio Nakaharaâs Geometry, Topology, and Physics; LaTeX file; github repository: mathphysics
(Notes and) Solutions for Mikio Nakaharaâs Geometry, Topology, and Physics; pdf file; github repository: mathphysics
Open-source; PayPal only
From the beginning of 2016, I decided to ceaseâŚ
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CompPhys - a Computational Physics repository
C++ functors (for C++11/C++14): easy examples here on my github repository CompPhys, called functors.cpp