diff --git a/README.md b/README.md index b1fdb0a..ded9590 100644 --- a/README.md +++ b/README.md @@ -7,6 +7,97 @@ Overview of current architecture and component interaction. Documentation of individual components: - [sf-buffer](sf-buffer) (Receive UDP and write buffer files) +- [sf-stream](sf-stream) (Live streaming of detector data) +- [sf-writer](sf-writer) (Read from buffer and write H5) +- [sf-utils](sf-utils) (Small utilities for debugging and testing) + +## Terminology + +In order to unify the way we write code and talk about concept the following +terminology definitions should be followed: + +- frame (data from a single module) +- image (assembled frames) +- start_pulse_id and stop_pulse_id (not end_pulse_id) is used to determine the +inclusive range (both start and stop pulse_id are included) of pulses. +- pulse_id_step (how many pulses to skip between each image). +- GPFS buffer (on GPFS detector buffering mechanism based on binary files) +- detector_folder (root folder of the buffer for a specific detector on disk) +- module_folder (folder of one module inside the detector_folder) +- data_folder (folder where we group more buffer files based on pulse_id range) +- data_file (the files where the actual data is stored, inside data_folder) + +## Design goals + +- Simplest thing that works. + - Save time and iterate more quickly. + - Less moving parts, less problems. +- Start optimizing only when things break. + - Many optimization possibilities, but not for now. + - Makes possible to test technologies faster. +- Small debuggable and profileable processes. + - Needs to be able to run on your local machine in a debugger. + - Asses code performance without guessing. +- As little dependency between processes as possible. + - Run only the process you want to test. + - Write unit tests. + +## Build + +To compile this repo you will need to install the following packages on RH7: +- devtoolset-9 +- cmake3 +- zeromq-devel +- hdf5-devel + +```bash +yum install devtoolset-9 +yum install cmake3 +yum install zeromq-devel +yum install hdf5-devel +``` + +Step by step procedure to build the repo: + +```bash +scl enable devtoolset-9 bash +git clone https://github.com/paulscherrerinstitute/sf_daq_buffer.git +cd sf_daq_buffer +mkdir build +cd build/ +cmake3 .. +make +``` + +It is recommended to create symbolic links to the executables you will be using +inside your PATH. + +Example: +```bash +ln -s "$(pwd)""/""sf_buffer" /usr/bin/sf_buffer +ln -s "$(pwd)""/""sf_stream" /usr/bin/sf_stream +ln -s "$(pwd)""/""sf_writer" /usr/bin/sf_writer +``` + +### Warnings + +#### Zeromq + +Zeromq version 4.1.4 (default on RH7) has a LINGER bug. Sometimes, the last +message is not sent (the connection gets dropped before the message is in the buffer). +Since we use PUSH/PULL only in sf-stream at the moment, this is not critical anymore. +But in the future we might use the PUSH/PULL mechanism, so updating to the latest +version of ZMQ should help us prevent future bug hunting sessions. + +Please install a later version: +```bash +cd /etc/yum.repos.d/ +wget https://download.opensuse.org/repositories/network:messaging:zeromq:release-stable/RHEL_7/network:messaging:zeromq:release-stable.repo +yum remove zeromq +yum remove openpgm +yum install libsodium-devel +yum install zeromq-devel +``` ## Useful links @@ -77,110 +168,3 @@ https://community.mellanox.com/s/article/raw-ethernet-programming--basic-introdu - Performance Tuning for Mellanox Adapters https://community.mellanox.com/s/article/performance-tuning-for-mellanox-adapters - UEFI Workload-based Performance and TuningGuide for HPE ProLiant Gen10 https://support.hpe.com/hpesc/public/docDisplay?docId=a00016408en_us - -## Build - -To compile this repo you will need to install the following packages on RH7: -- devtoolset-9 -- cmake3 -- zeromq-devel -- hdf5-devel - -```bash -yum install devtoolset-9 -yum install cmake3 -yum install zeromq-devel -yum install hdf5-devel -``` - -Step by step procedure to build the repo: - -```bash -scl enable devtoolset-9 bash -git clone https://github.com/paulscherrerinstitute/sf_daq_buffer.git -cd sf_daq_buffer -mkdir build -cd build/ -cmake3 .. -make -``` - -It is recommended to create symbolic links to the executables you will be using -inside your PATH. - -Example: -```bash -ln -s "$(pwd)""/""sf_buffer" /usr/bin/sf_buffer -ln -s "$(pwd)""/""sf_stream" /usr/bin/sf_stream -ln -s "$(pwd)""/""sf_writer" /usr/bin/sf_writer -``` - -### Warnings - -#### Zeromq - -Zeromq version 4.1.4 (default on RH7) has a LINGER bug. Sometimes, the last -message is not sent (the connection gets dropped before the message is in the buffer). -Since we use PUSH/PULL to modulate the sf_replay speed, this is a key functionality we are using. - -Please install a later version: -```bash -cd /etc/yum.repos.d/ -wget https://download.opensuse.org/repositories/network:messaging:zeromq:release-stable/RHEL_7/network:messaging:zeromq:release-stable.repo -yum remove zeromq -yum remove openpgm -yum install libsodium-devel -yum install zeromq-devel -``` - -## Terminology - -In order to unify the way we write code and talk about concept the following -terminology definitions should be followed: - -- frame (data from a single module) -- image (data of the assembled image) -- start_pulse_id and stop_pulse_id (not end_pulse_id) is used to determine the -inclusive range (both start and stop pulse_id are included) of pulses. -- pulse_id_step (how many pulses to skip between images). -- detector_folder (root folder of the buffer for a specific detector on disk) -- module_name (name of one module inside the detector_folder) -- data_folder (folder where we group more buffer files based on pulse_id range) - -## Data request ranges - -Data request ranges are composed of: - -- start_pulse_id (first pulse_id to be included in the file) -- stop_pulse_id (last pulse_id to be included in the file) -- pulse_id_step (how many pulses to skip between images.) - -pulse_id_step can be used to write data at different frequencies: - -- pulse_id_step == 1 (100Hz, write very pulse_id) -- pulse_id_step == 2 (50hz, write every second pulse) -- pulse_id_step == 10 (10Hz, write every 10th pulse) - -The next pulse_id to be written is calculated internally as: - -```c++ -auto next_pulse_id = currnet_pulse_id + pulse_id_step; -``` - -The loop criteria for writing is: - -```c++ -for ( - auto curr_pulse_id = start_pulse_id; - curr_pulse_id <= stop_pulse_id; - curr_pulse_id += pulse_id_step -) { - // Write curr_pulse_id to output file. -} -``` - -**Warning** - -If your stop_pulse_id cannot be reached by adding step_pulse_id to -start_pulse_id (start_pulse_id + (n * pulse_id_step) != stop_pulse_id for any n) -it will not be included in the final file. \ No newline at end of file diff --git a/docs/sf_daq_buffer-overview.jpg b/docs/sf_daq_buffer-overview.jpg index 96a4cad..7f6a3db 100644 Binary files a/docs/sf_daq_buffer-overview.jpg and b/docs/sf_daq_buffer-overview.jpg differ diff --git a/docs/sf_daq_buffer.drawio b/docs/sf_daq_buffer.drawio index 6bcaa98..97c2c7f 100644 --- a/docs/sf_daq_buffer.drawio +++ b/docs/sf_daq_buffer.drawio @@ -1 +1 @@ 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