Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The scalable parallel implementation, targeting SMP and/or multicore architectures, of dense linear algebra libraries is analyzed. Using the LU factorization as a case study, it is shown that an algorithm-by-blocks exposes a higher degree of parallelism than traditional implementations based on multithreaded BIAS. The implementation of this algorithm using the SuperMatrix runtime system is discussed and the scalability of the solution is demonstrated on two different platforms with 16 processors.
['Gregorio Quintana-Ortí', 'Enrique S. Quintana-Ortí', 'Ernie Chan', 'R.A. van de Geijn', 'F.G. Van Zee']
I am writing a research paper on a idea Design of scalable dense linear algebra libraries for multithreaded architectures: the LU factorization
[{"from": "human", "value": "I am writing a research paper on a idea Design of scalable dense linear algebra libraries for multithreaded architectures: the LU factorization"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The scalable parallel implementation, targeting SMP and/or multicore architectures, of dense linear algebra libraries is analyzed. Using the LU factorization as a case study, it is shown that an algorithm-by-blocks exposes a higher degree of parallelism than traditional implementations based on multithreaded BIAS. The implementation of this algorithm using the SuperMatrix runtime system is discussed and the scalability of the solution is demonstrated on two different platforms with 16 processors."}]