From 6062b4211790a800ad63a96b292b6c506024a701 Mon Sep 17 00:00:00 2001 From: Sebastien Bourdeauducq Date: Tue, 3 Mar 2015 22:44:19 +0000 Subject: [PATCH] doc: update overview slides --- doc/slides/artiq_overview.tex | 351 ++++++++++++++++++++++++---------- doc/slides/fig/hong_kong.jpg | Bin 0 -> 213314 bytes 2 files changed, 246 insertions(+), 105 deletions(-) create mode 100644 doc/slides/fig/hong_kong.jpg diff --git a/doc/slides/artiq_overview.tex b/doc/slides/artiq_overview.tex index 86706dc88..97605fa89 100644 --- a/doc/slides/artiq_overview.tex +++ b/doc/slides/artiq_overview.tex @@ -1,92 +1,177 @@ -\documentclass{beamer} -\usepackage{marvosym} -\usepackage{wasysym} -\usepackage{siunitx} -\usepackage{moreverb} -\usepackage{lato} +\documentclass[final,presentation,compress]{beamer} +\usepackage[mathcal]{euler} +\usepackage{amsmath, amssymb, amsopn} %amssymb,amstext +\usepackage[cm-default]{fontspec} +\usepackage{xltxtra} +\usepackage[english]{babel} +\usepackage{multicol} +\usepackage{multimedia} +\usepackage{tikz} +\usetikzlibrary{arrows,shapes,snakes,positioning,backgrounds,decorations,graphs} +\definecolor{ethblue}{rgb}{0, 0.2, 0.3568} +\usepackage{minted} -\definecolor{UniBlue}{RGB}{43,61,81} -\definecolor{UniBlueHL}{RGB}{67,98,129} -\definecolor{UniGreen}{RGB}{54,188,123} +\mode +{ + \useoutertheme{default} % simplistic + \setbeamertemplate{headline}[default] % kill the headline + \setbeamertemplate{navigation symbols}{} % no navigaton stuff in lr corner + \useinnertheme{circles} + \setbeamercolor*{palette primary}{use=structure,fg=white,bg=ethblue!70} + \setbeamercolor*{palette secondary}{use=structure,fg=white,bg=ethblue!80} + \setbeamercolor*{palette tertiary}{use=structure,fg=white,bg=ethblue!90} + \setbeamercolor*{palette quaternary}{use=structure,fg=white,bg=ethblue!100} + \setbeamercolor*{structure}{fg=ethblue!70} + \hypersetup{ + } + \setbeamercovered{invisible} +} -\renewcommand*{\familydefault}{fla} -\renewcommand*{\sfdefault}{fla} +\graphicspath{{fig//}} -\setbeamercolor{title}{fg=white} -\setbeamercolor{frametitle}{fg=UniGreen} -\setbeamercolor{structure}{fg=white} -\setbeamercolor{normal text}{fg=white} -\setbeamercolor{background canvas}{bg=UniBlue} +\title{The ARTIQ experiment control system} +\author[S]{{\bf S\'ebastien~Bourdeauducq}} +\institute[S]{ + M-Labs Ltd, Hong Kong -- \url{http://m-labs.hk} +} \begin{document} -\fontseries{l}\selectfont -\title{ARTIQ} -\subtitle{A new control system for trapped ion experiments} -\author{\fontseries{el}\selectfont S\'ebastien Bourdeauducq} -\date{\fontseries{el}\selectfont july 2014} - -\frame{\titlepage} - -\begin{frame} -\frametitle{\fontseries{l}\selectfont Key points} -\begin{itemize} -\item High performance --- nanosecond resolution, hundreds of ns latency -\item Expressive --- describe algorithms with few lines of code -\item Portable --- treat FPGA boards as commodity -\item Modular --- separate components as much as possible -\item Flexible --- hard-code as little as possible -\end{itemize} +\begin{frame}[plain] + \titlepage +\tikz[overlay,remember picture]\node[anchor=south,above=-.5cm] at (current page.south) + {\includegraphics[width=\paperwidth]{hong_kong}}; +\tikz[overlay,remember picture]\node[anchor=south east, fill=white, +inner sep=.3mm] at (current page.south east) {% +\tiny David Iliff, CC-BY-SA}; \end{frame} \begin{frame} -\frametitle{\fontseries{l}\selectfont Kernels} -\begin{itemize} -\item The real-time parts of the experiments -\item Written in a subset of Python -\item Executed on a CPU embedded in a FPGA (\textit{core device}) -\item Special constructs to specify timing -\end{itemize} + \includegraphics[width=\columnwidth]{jost_trap-3} +\end{frame} + +\begin{frame} + \frametitle{Quantum gate sequences (NIST)} + \includegraphics[width=\columnwidth]{gate_sequence} +\end{frame} + +\begin{frame} + \begin{tikzpicture}[box/.style={rectangle,fill=white}] + \node[inner sep=0] {\includegraphics[width=\columnwidth]{lab}};\pause + %\draw[help lines,white] (-4, -3) grid (4, 3); + \node[box] at (-4, -2) {FPGA}; + \node[box] at (3.5, 0) {ion trap}; + \node[box] at (-3, 3) {$\sim$10 attenuators}; + \node[box] at (2, 2) {$\sim$50 DAC}; + \node[box] at (-4, 0) {$\sim$20 DDS}; + \node[box] at (-2, 1) {$\sim$50 GPIO}; + \node[box] at (.5, 0) {$\sim$10 motors}; + \node[box] at (2, -2) {$\sim$10 power supplies}; + \node[box] at (4, -3) {$\sim$10 lasers}; + \end{tikzpicture} +\end{frame} + +\begin{frame} + \frametitle{Enter ARTIQ} + \alert{A}dvanced \alert{R}eal-\alert{T}ime \alert{I}nfrastructure for \alert{Q}uantum physics + + \footnotesize + \begin{itemize} + \item High performance --- nanosecond resolution, hundreds of ns latency + \item Expressive --- describe algorithms with few lines of code + \item Portable --- treat hardware, especially FPGA boards, as commodity + \item Modular --- separate components as much as possible + \item Flexible --- hard-code as little as possible + \end{itemize} \end{frame} \begin{frame}[fragile] -\frametitle{\fontseries{l}\selectfont Timing} -\begin{itemize} -\item Exact time of interactions with the outside world is kept in an internal variable -\item That variable only loosely tracks the execution time of CPU instructions -\item The value of that variable is exchanged with the \textit{RTIO core} that does precise timing -\end{itemize} -\begin{verbatimtab} -self.mains_sync.wait_edge() -for i in range(10): - delay(10*us) - self.X.pulse(100*MHz, 100*us) -\end{verbatimtab} -\center First X pulse is emitted exactly \SI{10}{\micro\second} after mains edge + \frametitle{Define a simple timing language} + \footnotesize + + \begin{minted}[frame=leftline]{python} +trigger.sync() # wait for trigger input +start = now() # capture trigger time +for i in range(3): + delay(5*us) + dds.pulse(900*MHz, 7*us) # first pulse 5 µs after trigger +at(start + 1*ms) # re-reference time-line +dds.pulse(200*MHz, 11*us) # exactly 1 ms after trigger + \end{minted} + + \begin{itemize} + \item Written in a subset of Python + \item Executed on a CPU embedded on a FPGA (the \emph{core device}) + \item \verb!now(), at(), delay()! describe time-line of an experiment + \item Exact time is kept in an internal variable + \item That variable only loosely tracks the execution time of CPU instructions + \item The value of that variable is exchanged with the RTIO fabric that + does precise timing + \end{itemize} \end{frame} -\begin{frame}[fragile] -\frametitle{\fontseries{l}\selectfont Parallel and sequential blocks} -\begin{itemize} -\item All statements in a \verb!parallel! block are executed at the same exact time -\item A \verb!parallel! block can spawn a \verb!sequential! block, where exact time increases -\item \verb!Parallel! and \verb!sequential! blocks can be arbitrarily nested -\end{itemize} -\begin{verbatimtab} -with parallel: - with sequential: - self.a.pulse(100*MHz, 20*us) - self.b.pulse(200*MHz, 20*us) - with sequential: - self.c.pulse(300*MHz, 10*us) - self.d.pulse(400*MHz, 20*us) -\end{verbatimtab} -\end{frame} \begin{frame}[fragile] -\frametitle{\fontseries{l}\selectfont Object orientation and code reuse} -\begin{verbatimtab} -class Main(AutoDB): + \frametitle{Convenient syntax additions} + \footnotesize + \begin{minted}[frame=leftline]{python} +with sequential: + with parallel: + a.pulse(100*MHz, 10*us) + b.pulse(200*MHz, 20*us) + with parallel: + c.pulse(300*MHz, 30*us) + d.pulse(400*MHz, 20*us) + \end{minted} + + \begin{itemize} + \item Experiments are inherently parallel: + simultaneous laser pulses, parallel cooling of ions in different trap zones + \item \verb!parallel! and \verb!sequential! contexts with arbitrary nesting + \item \verb!a! and \verb!b! pulses both start at the same time + \item \verb!c! and \verb!d! pulses both start when \verb!a! and \verb!b! are both done + (after 20\,µs) + \item Implemented by inlining, loop-unrolling, and interleaving + \end{itemize} +\end{frame} + + +\begin{frame}[fragile] + \frametitle{Physical quantities, hardware granularity} + \footnotesize + \begin{minted}[frame=leftline]{python} +n = 1000 +dt = 1.2345*ns +f = 345*MHz + +dds.on(f, phase=0) # must round to integer tuning word +for i in range(n): + delay(dt) # must round to native cycles + +dt_raw = time_to_cycles(dt) # integer number of cycles +f_raw = dds.frequency_to_ftw(f) # integer frequency tuning word + +# determine correct phase despite accumulation of rounding errors +phi = n*cycles_to_time(dt_raw)*dds.ftw_to_frequency(f_raw) + \end{minted} + + \begin{itemize} + \item Need well defined conversion and rounding of physical quantities + (time, frequency, phase, etc.) to hardware granularity and back + \item Complicated because of calibration, offsets, cable delays, + non-linearities + \item No generic way to do it automatically and correctly + \item $\rightarrow$ need to do it explicitly where it matters + \end{itemize} +\end{frame} + + +\begin{frame}[fragile] + \frametitle{Invite organizing experiment components and code reuse} + \footnotesize + + \begin{minted}[frame=leftline]{python} +class Experiment: def build(self): self.ion1 = Ion(...) self.ion2 = Ion(...) @@ -94,48 +179,104 @@ class Main(AutoDB): @kernel def run(self): - self.ion1.cool(duration=10*us) - self.ion2.cool(frequency=...) + with parallel: + self.ion1.cool(duration=10*us) + self.ion2.cool(frequency=...) self.transporter.move(speed=...) + delay(100*ms) self.ion1.detect(duration=...) -\end{verbatimtab} + \end{minted} \end{frame} + \begin{frame}[fragile] -\frametitle{\fontseries{l}\selectfont Communication with the kernel} -\begin{itemize} -\item When the kernel function calls a non-kernel function, it generates a RPC -\item The callee is executed on the host -\item The callee may receive parameters from the kernel and may return a value to the kernel -\item The kernel must have a loose real-time constraint (a long \verb!delay!) to cover communication and host delays -\item Mechanism to report results and control slow devices -\end{itemize} + \frametitle{RPC to handle distributed non-RT hardware} + \footnotesize + + \begin{minted}[frame=leftline]{python} +class Experiment: + def prepare(self): # runs on the host + self.motor.move_to(20*mm) # slow RS232 motor controller + + @kernel + def run(self): # runs on the RT core device + self.prepare() # converted into an RPC + \end{minted} + + \begin{itemize} + \item When a kernel function calls a non-kernel function, it generates a RPC + \item The callee is executed on the host + \item Mechanism to report results and control slow devices + \item The kernel must have a loose real-time constraint (a long \verb!delay!) + or means of re-synchronization to cover communication, host, and device delays + \end{itemize} \end{frame} + \begin{frame} -\frametitle{\fontseries{l}\selectfont Kernel deployment process} -\begin{enumerate} -\item Constants and called kernels are inlined -\item Loops are unrolled -\item Statements from concurrent sequential blocks are interleaved. Threads are currently unsupported. -\item Time is converted to RTIO clock units -\item The Python AST is converted to LLVM IR -\item The LLVM IR is compiled to OpenRISC machine code -\item The OpenRISC binary is sent to the core device -\item The runtime in the core device links and run the kernel -\item The kernel calls the runtime for communication (RPC) and access to core device peripherals (RTIO, DDS) -\end{enumerate} + \frametitle{Kernel deployment to the core device} + \footnotesize + \begin{itemize} + \item RPC and exception mappings are generated + \item Constants and small kernels are inlined + \item Small loops are unrolled + \item Statements in parallel blocks are interleaved + \item Time is converted to RTIO clock cycles + \item The Python AST is converted to LLVM IR + \item The LLVM IR is compiled to OpenRISC machine code + \item The OpenRISC binary is sent to the core device + \item The runtime in the core device links and runs the kernel + \item The kernel calls the runtime for communication (RPC) and interfacing + with core device peripherals (RTIO, DDS) + \end{itemize} \end{frame} -\begin{frame}[fragile] -\frametitle{\fontseries{l}\selectfont Channels and parameters} -\begin{itemize} -\item A kernel is a method of a class -\item The entry point for an experiment is called \verb!run! --- may or may not be a kernel -\item The \verb!AutoDB! class manages channels and parameters -\item If channels/parameters are passed as constructor arguments, those are used -\item Otherwise, they are looked up in the device and parameter databases -\end{itemize} + +\begin{frame} + \frametitle{Higher level features} + \footnotesize + \begin{itemize} + \item Device management: drivers, remote devices, device database + \item Parameter database \\ + e.g.\ ion properties such as qubit flopping frequency + \item Scheduling of experiments \\ + e.g.\ calibrations, queue + \item Archival of results (HDF5 format) + \item Graphical user interface \\ + run with arguments, schedule, real-time plotting + \end{itemize} +\end{frame} + + +\begin{frame} + \frametitle{Short-term hardware support} + \footnotesize + \begin{itemize} + \item Core device: Papilio Pro, Pipistrello, KC705 + \item High speed DDS with AD9858 and AD9914 \\ + (direct core device, $ < 25$ channels) + \item Waveform generation: PDQ (NIST), PXI6733 + \item Lab Brick Digital Attenuators + \item Novatech 409B DDS + \item Thorlabs motor controllers + \end{itemize} +\end{frame} + +\begin{frame} + \begin{center} + \includegraphics[width=3cm]{../../logo/artiq.pdf} \\ + \url{http://m-labs.hk/artiq} + \end{center} + + \footnotesize + \begin{itemize} + \item Public mailing list (with archives) + \item Full source code, BSD licensed + \item Design applicable beyond ion trapping (superconducting qubits, + neutral atoms...) + \end{itemize} + \textit{Thanks to Robert J\"ordens, Joe Britton, Daniel Slichter and other members of the NIST Ion Storage Group for their support in developing ARTIQ.} + 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