doc: update overview slides

m-labs · Mar 3, 2015 · 6062b42 · 6062b42
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diff --git a/doc/slides/artiq_overview.tex b/doc/slides/artiq_overview.tex
@@ -1,141 +1,282 @@
-\documentclass{beamer}
-\usepackage{marvosym}
-\usepackage{wasysym}
-\usepackage{siunitx}
-\usepackage{moreverb}
-\usepackage{lato}
-
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-
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-\setbeamercolor{structure}{fg=white}
-\setbeamercolor{normal text}{fg=white}
-\setbeamercolor{background canvas}{bg=UniBlue}
+\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}
+
+\mode<presentation>
+{
+  \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}
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+  \setbeamercolor*{palette quaternary}{use=structure,fg=white,bg=ethblue!100}
+  \setbeamercolor*{structure}{fg=ethblue!70}
+  \hypersetup{
+  }
+  \setbeamercovered{invisible}
+}
+
+\graphicspath{{fig//}}
+
+\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}
+\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}
 
-\frame{\titlepage}
+\begin{frame}
+  \includegraphics[width=\columnwidth]{jost_trap-3}
+\end{frame}
 
 \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}
+  \frametitle{Quantum gate sequences (NIST)}
+  \includegraphics[width=\columnwidth]{gate_sequence}
 \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}
+  \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}
+  \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{\fontseries{l}\selectfont Object orientation and code reuse}
-\begin{verbatimtab}
-class Main(AutoDB):
+  \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(...)
         self.transporter = Transporter(...)
 
     @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.}
+
 \end{frame}
 
 \end{document}
diff --git a/doc/slides/fig/hong_kong.jpg b/doc/slides/fig/hong_kong.jpg