Remove irrelevant projects

Author: vgvassilev

_data/openprojectlist.yml

@@ -641,90 +641,6 @@
       * Implement template instantiation error recovery support
       * Implement argument-dependent lookup (ADL) recovery support
 
-- name: "Improve Cling's Development Lifecycle"
-  description: |
-    Cling is an interactive C++ interpreter, built on top of Clang and LLVM
-    compiler infrastructure. Cling realizes the read-eval-print loop (REPL)
-    concept, in order to leverage rapid application development. Implemented as
-    a small extension to LLVM and Clang, the interpreter reuses their strengths
-    such as the praised concise and expressive compiler diagnostics.
-  tasks: |
-    The project foresees to enhance the Github Actions infrastructure by adding
-    development process automation tools:
-      * Code Coverage information (`codecov`)
-      * Static code analysis (`clang-tidy`)
-      * Coding conventions checks (`clang-format`)
-      * Release binary upload automation
-
-- name: "Allow redefinition of CUDA functions in Cling"
-  description: |
-    Cling is an interactive C++ interpreter, built on top of Clang and LLVM
-    compiler infrastructure. Cling realizes the read-eval-print loop (REPL)
-    concept, in order to leverage rapid application development. Implemented as
-    a small extension to LLVM and Clang, the interpreter reuses their strengths
-    such as the praised concise and expressive compiler diagnostics.
-
-    Since the development of Cling started, it got some new features to enable
-    new workflows. One of the features is CUDA mode, which allows you to
-    interactively develop and run CUDA code on Nvidia GPUs. Another feature is
-    the redefinition of functions, variable classes and more, bypassing the
-    one-definition rule of C++. This feature enables comfortable rapid
-    prototyping in C++. Currently, the two features cannot be used together
-    because parsing and executing CUDA code behaves differently compared to
-    pure C++.
-  tasks: |
-    The task is to adapt the redefinitions feature of the pure C++ mode for the
-    CUDA mode. To do this, the student must develop solutions to known and
-    unknown problems that parsing and executing CUDA code causes.
-
-- name: "Developing C++ modules support in CMSSW and Boost"
-  description: |
-    The LHC smashes groups of protons together at close to the speed of light:
-    40 million times per second and with seven times the energy of the most
-    powerful accelerators built up to now. Many of these will just be glancing
-    blows but some will be head on collisions and very energetic. When this
-    happens some of the energy of the collision is turned into mass and
-    previously unobserved, short-lived particles – which could give clues about
-    how Nature behaves at a fundamental level - fly out and into the detector.
-    Our work includes the experimental discovery of the Higgs boson, which leads
-    to the award of a Nobel prize for the underlying theory that predicted the
-    Higgs boson as an important piece of the standard model theory of particle
-    physics.
-
-    CMS is a particle detector that is designed to see a wide range of particles
-    and phenomena produced in high-energy collisions in the LHC. Like a
-    cylindrical onion, different layers of detectors measure the different
-    particles, and use this key data to build up a picture of events at the
-    heart of the collision.
-
-    Last year, thanks to [Lucas Calmolezi and GSoC](https://summerofcode.withgoogle.com/archive/2020/projects/5397144158076928/),
-    the usage of boost in CMSSW was modernized. It improved the C++ modules
-    support of local boost fork.
-  tasks: |
-    Many of the accumulated local patches add missing includes to the relevant
-    boost header files. The candidate should start by proposing the existing
-    patches to the boost community. Try to compile more boost-specific modules
-    which is mostly a mechanical task. The student should be ready to work
-    towards making the C++ module files more efficient containing less
-    duplications. The student should be prepared to write a progress report and
-    present the results.
-
-- name: 'Modernize the LLVM "Building A JIT" tutorial series'
-  description: |
-    The LLVM BuildingAJIT tutorial series teaches readers to build their own JIT
-    class from scratch using LLVM’s ORC APIs, however the tutorial chapters have
-    not kept pace with recent API improvements. Bring the existing tutorial
-    chapters up to speed, write up a new chapter on lazy compilation (chapter
-    code already available) or write a new chapter from scratch.
-  tasks: |
-    * Update chapter text for Chapters 1-3 -- Easy, but offers a chance to get
-      up-to-speed on the APIs.
-    * Write chapter text for Chapter 4 -- Chapter code is already available, but
-      no chapter text exists yet.
-    * Write a new chapter from scratch -- E.g. How to write an out-of-process
-      JIT, or how to directly manipulate the JIT'd instruction stream using the
-      ObjectLinkingLayer::Plugin API.
-
 
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 #                                     2024                                     #