forked from M-Labs/artiq
doc: convert to 'with parallel'
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@ -156,23 +156,23 @@ The core device records the real-time IO waveforms into a circular buffer. It is
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Afterwards, the recorded data can be extracted and written to a VCD file using ``artiq_coreanalyzer -w rtio.vcd`` (see: :ref:`core-device-rtio-analyzer-tool`). VCD files can be viewed using third-party tools such as GtkWave.
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Interleave and sequential blocks
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--------------------------------
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Parallel and sequential blocks
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------------------------------
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It is often necessary that several pulses overlap one another. This can be expressed through the use of ``with interleave`` constructs, in which all statements execute at the same time. The execution time of the ``interleave`` block is the execution time of its longest statement.
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It is often necessary that several pulses overlap one another. This can be expressed through the use of ``with parallel`` constructs, in which all statements execute at the same time. The execution time of the ``parallel`` block is the execution time of its longest statement.
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Try the following code and observe the generated pulses on a 2-channel oscilloscope or logic analyzer: ::
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for i in range(1000000):
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with interleave:
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with parallel:
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self.ttl0.pulse(2*us)
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self.ttl1.pulse(4*us)
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delay(4*us)
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Within a interleave block, some statements can be made sequential again using a ``with sequential`` construct. Observe the pulses generated by this code: ::
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Within a parallel block, some statements can be made sequential again using a ``with sequential`` construct. Observe the pulses generated by this code: ::
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for i in range(1000000):
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with interleave:
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with parallel:
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with sequential:
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self.ttl0.pulse(2*us)
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delay(1*us)
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@ -180,5 +180,5 @@ Within a interleave block, some statements can be made sequential again using a
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self.ttl1.pulse(4*us)
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delay(4*us)
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.. warning::
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In its current implementation, ARTIQ only supports those pulse sequences that can be interleaved at compile time into a sequential series of on/off events. Combinations of ``interleave``/``sequential`` blocks that require multithreading (due to the parallel execution of long loops, complex algorithms, or algorithms that depend on external input) will cause the compiler to return an error.
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.. note::
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Branches of a ``parallel`` block are executed one after another, with a reset of the internal RTIO time variable before moving to the next branch. If a branch takes a lot of CPU time, it may cause an underflow when the next branch begins its execution.
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@ -117,10 +117,10 @@ dds.pulse(200*MHz, 11*us) # exactly 1 ms after trigger
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\footnotesize
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\begin{minted}[frame=leftline]{python}
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with sequential:
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with interleave:
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with parallel:
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a.pulse(100*MHz, 10*us)
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b.pulse(200*MHz, 20*us)
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with interleave:
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with parallel:
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c.pulse(300*MHz, 30*us)
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d.pulse(400*MHz, 20*us)
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\end{minted}
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@ -128,11 +128,10 @@ with sequential:
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\begin{itemize}
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\item Experiments are inherently parallel:
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simultaneous laser pulses, parallel cooling of ions in different trap zones
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\item \verb!interleave! and \verb!sequential! contexts with arbitrary nesting
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\item \verb!parallel! and \verb!sequential! contexts with arbitrary nesting
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\item \verb!a! and \verb!b! pulses both start at the same time
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\item \verb!c! and \verb!d! pulses both start when \verb!a! and \verb!b! are both done
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(after 20\,µs)
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\item Implemented by inlining, loop-unrolling, and interleaving
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\end{itemize}
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\end{frame}
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@ -181,7 +180,7 @@ class Experiment:
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@kernel
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def run(self):
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with interleave:
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with parallel:
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self.ion1.cool(duration=10*us)
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self.ion2.cool(frequency=...)
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self.transporter.move(speed=...)
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@ -219,11 +218,6 @@ class Experiment:
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\frametitle{Kernel deployment to the core device}
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\footnotesize
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\begin{itemize}
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\item RPC and exception mappings are generated
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\item Constants and small kernels are inlined
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\item Small loops are unrolled
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\item Statements in interleave blocks are interleaved
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\item Time is converted to RTIO clock cycles
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\item The Python AST is converted to LLVM IR
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\item The LLVM IR is compiled to OpenRISC machine code
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\item The OpenRISC binary is sent to the core device
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@ -133,10 +133,10 @@ dds.pulse(200*MHz, 11*us) # exactly 1 ms after trigger
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\footnotesize
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\begin{minted}[frame=leftline]{python}
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with sequential:
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with interleave:
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with parallel:
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a.pulse(100*MHz, 10*us)
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b.pulse(200*MHz, 20*us)
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with interleave:
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with parallel:
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c.pulse(300*MHz, 30*us)
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d.pulse(400*MHz, 20*us)
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\end{minted}
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@ -144,7 +144,7 @@ with sequential:
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\begin{itemize}
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\item Experiments are inherently parallel:
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simultaneous laser pulses, parallel cooling of ions in different trap zones
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\item \verb!interleave! and \verb!sequential! contexts with arbitrary nesting
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\item \verb!parallel! and \verb!sequential! contexts with arbitrary nesting
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\item \verb!a! and \verb!b! pulses both start at the same time
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\item \verb!c! and \verb!d! pulses both start when \verb!a! and \verb!b! are both done
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(after 20\,µs)
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@ -197,7 +197,7 @@ class Experiment:
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@kernel
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def run(self):
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with interleave:
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with parallel:
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self.ion1.cool(duration=10*us)
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self.ion2.cool(frequency=...)
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self.transporter.move(speed=...)
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@ -235,11 +235,6 @@ class Experiment:
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\frametitle{Kernel deployment to the core device}
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\footnotesize
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\begin{itemize}
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\item RPC and exception mappings are generated
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\item Constants and small kernels are inlined
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\item Small loops are unrolled
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\item Statements in interleave blocks are interleaved
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\item Time is converted to RTIO clock cycles
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\item The Python AST is converted to LLVM IR
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\item The LLVM IR is compiled to OpenRISC machine code
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\item The OpenRISC binary is sent to the core device
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