Update projects.md

Added prerequesites for numerical linear algebra projects

projects.md

@@ -51,16 +51,10 @@ One of the main challenges of atomistic simulations is the acceleration of force
 A more detailed description of the project can be found [here](https://docs.google.com/document/d/1mcZlfOULcqglCNqnCJ-ya1E39CLUircjMhfBtQhXP0k/edit?usp=sharing). 
 Contact: Emmanuel Lujan (eljn AT mit DOT edu).
 
-## Fall 2023 - Matrix decompositions for GPUs
-Mentor: Evelyne Ringoot
+## Numerical linear algebra projects 
+Mentors: Rabab Alomairy and Evelyne Ringoot
 
-We have a number of UROP projects in the implementation of matrix decompositions for GPUs in Julia Language. No experience needed, only an interest in numerical linear algebra, a desire to learn Julia and to contribute to the development of the next-generation GPU/HPC algorithms.
-Please contact Evelyne Ringoot before September 10 if interested.
-
-## Fall UROP 2024 - migration of CoreBLAS routines (C) to Julia language
-Mentor: Rabab Alomairy and Evelyne Ringoot
-
-We are looking to migrate some of the CoreBLAS PLASMA matrix operation routines (https://icl.utk.edu/plasma/docs/index.html and https://github.com/Rabab53/CoreBlas) to Julia-native version, in order to create efficient linear algebra HPC routines. Preference for students with experience in numerical linear algebra and coding in C and who are looking to get more programming experience, please reach out to Evelyne Ringoot and Rabab Alomairy if interested.
+E.g. matrix decompositions algorithms for GPUS, migration of BLAS routines (C) to Julia language and other numerical linear algebra. Interested students who have taken 18.06 or equivalent, and have experience in either julia or C/C++, (great if experience with slurm/supercomputers), please reach out to Evelyne Ringoot and Rabab Alomairy with a resume and github profile link.
 
 # Projects (additional for 18.337)