Thematic CERN School of Computing 2023

Europe/Zurich
MedILS, Split, Croatia

MedILS, Split, Croatia

Meštrovićevo šetalište 45 HR – 21000 Split Croatia
Alberto Pace (CERN), Kristina Gunne (CERN), Jarek Polok (CERN)
Description

The 12th Thematic CERN School of Computing (tCSC 2023) will take place on June 11-17, 2023.The theme of the school is "Scientific Software for Heterogeneous Architectures" - see the academic programme for more details.

This school is organized by CERN in collaboration with the University of Split. The school will take place in Split, Croatia, and be hosted at the Mediterranean Institute For Life Sciences (MEDILS) Conference Centre. The Centre is a historical renovated building situated in a wooded and landscaped park located on the Adriatic Sea coast, a few kilometers from the centre of Split. 

The School is aimed at postgraduate (i.e. minimum of Bachelor degree or equivalent) students, engineers and scientists with a few years' experience in particle physics, in computing, or in related fields. We welcome applications from all countries and nationalities.

Applications are closed.

Important Dates

  • Monday March 13 - applications deadline
  • Tuesday April 3 - invitations sent to the selected participants
  • Tuesday 2 May - registration fee payment deadline
  • Sunday June 11 to Saturday June 17 - the school

              

CERN School of Computing
    • 11:00 AM
      Registration
    • 12:20 PM
      Lunch
    • Registration
    • 1
      Welcome and introduction
    • 2
      Self presentations

      One minute-one slide self presentations

    • 3
      Visit of Split old town
    • 7:30 PM
      Outside Welcome Dinner
    • 8:00 AM
      Breakfast
    • 4
      Opening Session
    • 5
      Self-presentation: 1 minute per person
    • 10:00 AM
      Coffee break
    • 6
      Preparing for the HL-LHC computational challenge

      In this talk we will introduce some basic concepts related to HEP data processing and analysis workflows, seeing them in action in the context of LHC experiments. We’ll also talk about the evolution of the LHC accelerator and experiments. We’ll characterise at a high level what are the consequences of those upgrades for the HEP data processing software, in particular in the context of an evolving hardware and computing infrastructure.

      Speaker: Danilo Piparo (CERN)
    • 7
      Introduction to efficient computing

      Technologies and Platforms - lecture 1

      • The evolution of computing hardware and what it means in practice
      • The seven dimensions of performance
      • Controlling and benchmarking your computer and software
      • Software that scales with the hardware
      • Advanced performance tuning in hardware
      Speaker: Andrzej Nowak
    • 12:20 PM
      Lunch
    • 1:00 PM
      Study time and/or daily sports
    • 8
      Self-presentation: 1 minute per person
    • 9
      Hardware evolution and heterogeneity

      Technologies and Platforms - lecture 2

      • Accelerators, co-processors, heterogeneity
      • Memory architectures, hardware caching and NUMA
      • Compute devices: CPU, GPU, FPGA, ASIC etc.
      • The role of compilers
      Speaker: Andrzej Nowak
    • 3:20 PM
      Coffee break
    • 10
      Technologies and Platforms - exercise
      Speaker: Andrzej Nowak
    • 11
      Data-oriented design

      Technologies and Platforms - lecture 3

      • Hardware vectorization in detail – theory vs. practice
      • Software design for vectorization and smooth data flow
      • How can compilers and other tools help?
      Speaker: Andrzej Nowak
    • 7:15 PM
      Dinner at MEDILS
    • 8:00 AM
      Breakfast
    • 12
      Writing parallel software

      Parallel and Optimised Scientific Software - lecture 1

      • Amdahl's and Gustafson's laws
      • Asynchronous execution
      • Finding concurrency, task vs. data parallelism
      • Using threading in C++ and Python, comparison with multi-process
      • Resource protection and thread safety
      • Locks, thread local storage, atomic operations
      Speaker: Sebastien Ponce (CERN)
    • 13
      Announcements
    • 10:00 AM
      Coffee break
    • 14
      Modern programming languages for HEP

      Parallel and Optimised Scientific Software - lecture 2

      • Why Python and C++ ?
      • Recent evolutions: C++ 11/14/17
      • Modern features of C++ related to performance
      • Templating versus inheritance, pros and cons of virtual inheritance
      • Python 3, and switching from Python 2
      Speaker: Sebastien Ponce (CERN)
    • 15
      Technologies and Platforms - exercise
      Speaker: Andrzej Nowak
    • 12:20 PM
      Lunch
    • 1:00 PM
      Study time and/or daily sports
    • 16
      Technologies and Platforms - exercise debriefing
      Speaker: Andrzej Nowak
    • 17
      Optimizing existing large codebase

      Parallel and Optimised Scientific Software - lecture 3

      • Measuring performance, tools and key indicators
      • Improving memory handling
      • The nightmare of thread safety
      • Code modernization and low level optimizations
      • Data structures for efficient computation in modern C++
      Speaker: Sebastien Ponce (CERN)
    • 3:20 PM
      Coffee break
    • 18
      Optimizing existing large codebase - exercise

      Optimisation of an existing, production grade large codebase

      Speaker: Sebastien Ponce (CERN)
    • 7:15 PM
      Dinner at MEDILS
    • 8:00 AM
      Breakfast
    • 19
      Scientific computing on heterogeneous architectures

      Programming for Heterogeneous Architectures - lecture 1

      • Introduction to heterogeneous architectures and the performance challenge
      • From general to specialized: Hardware accelerators and applications
      • Type of workloads ideal for different accelerators
      • Trade-offs between multi-core and many-core architectures
      • Implications of heterogeneous hardware on the design and architecture of scientific software
      • Embarrassingly parallel scientific applications in HPC and CERN
      Speaker: Dorothea Vom Bruch (Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France)
    • 20
      Announcements
    • 10:00 AM
      Coffee break
    • 21
      Student lightning talks
    • 22
      Practical vectorization

      Parallel and Optimised Scientific Software - lecture 4

      • Measuring vectorization level
      • What to expect from vectorization
      • Preparing code for vectorization
      • Vectorizing techniques in C++: intrinsics, libraries, autovectorization
      Speaker: Sebastien Ponce (CERN)
    • 12:20 PM
      Lunch
    • 23
      School photo
    • 1:30 PM
      Outdoor excursion
    • 7:00 PM
      Excursion dinner
    • 8:00 AM
      Breakfast
    • 24
      Programming for GPUs

      Programming for Heterogeneous Architectures - lecture 2

      • From SIMD to SPMD, a programming model transition
      • Thread and memory organization
      • Basic building blocks of a GPU program
      • Control flow, synchronization, atomics
      Speaker: Dorothea Vom Bruch (Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France)
    • 25
      Announcements
    • 10:00 AM
      Coffee break
    • 26
      Performant programming for GPUs

      Programming for Heterogeneous Architectures - lecture 3

      • Data locality, coalesced memory accesses, tiled data processing
      • GPU streams, pipelined memory transfers
      • Under the hood: branchless, warps, masked execution
      • Debugging and profiling a GPU application
      Speaker: Daniel Campora (University of Maastricht)
    • 27
      Practical vectorization - exercise
      Speaker: Sebastien Ponce (CERN)
    • 12:20 PM
      Lunch
    • 1:00 PM
      Study time and/or daily sports
    • 28
      Optimisation + vectorization - exercise debriefing
      Speaker: Sebastien Ponce (CERN)
    • 29
      Design patterns and best practices

      Programming for Heterogeneous Architectures - lecture 4

      • Good practices: single precision, floating point rounding, avoid register spilling, prefer single source
      • Other standards: SYCL, HIP, OpenCL
      • Middleware libraries and cross-architecture compatibility
      • Reusable parallel design patterns with real-life applications
      Speaker: Daniel Campora (University of Maastricht)
    • 3:40 PM
      Coffee break
    • 30
      Programming for heterogeneous architectures - exercise
      Speakers: Daniel Campora (Nikhef National institute for subatomic physics (NL)), Dorothea Vom Bruch (Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France)
    • 7:15 PM
      Dinner at MEDILS

      IESC

    • 8:00 AM
      Breakfast
    • 31
      Programming for heterogeneous architectures - exercise
      Speakers: Daniel Campora (University of Maastricht), Dorothea Vom Bruch (Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France)
    • 10:00 AM
      Coffee break
    • 32
      Programming for heterogeneous architectures - exercise
      Speakers: Daniel Campora (University of Maastricht), Dorothea Vom Bruch (Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France)
    • 33
      Announcements
    • 34
      Programming for heterogeneous architectures - exercise debriefing
      Speakers: Daniel Hugo Campora Perez (Nikhef National institute for subatomic physics (NL)), Dorothea Vom Bruch (Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France)
    • 12:20 PM
      Lunch
    • 1:00 PM
      Study time and/or daily sports
    • 35
      Summary and future technologies overview

      Technologies and Platforms - lecture 4

      • Teaching program summary and wrap-up
      • Next-generation memory technologies and interconnect
      • Future computing evolution
      Speaker: Andrzej Nowak
    • 3:20 PM
      Coffee break
    • 36
      Exam
    • 4:30 PM
      Free time
    • 37
      Closing Session
    • 7:30 PM
      Closing dinner
    • 8:00 AM
      Breakfast
    • 8:30 AM
      Departure - bus leaves at 8:30