Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: BLIS is a new software framework for instantiating high-performance BLAS-like dense linear algebra libraries.  demonstrate how BLIS acts as a productivity multiplier by using it to implement the level-3 BLAS on a variety of current architectures. The systems for which  demonstrate the framework include state-of-the-art general-purpose, low-por, and many-core architectures.  show, with very little effort, how the BLIS framework yields sequential and parallel implementations that are competitive with the performance of ATLAS, OpenBLAS (an effort to maintain and extend the GotoBLAS), and commercial vendor implementations such as AMD’s ACML, IBM’s ESSL, and Intel’s MKL libraries. Although most of this article focuses on single-core implementation,  also provide compelling results that suggest the framework’s leverage extends to the multithreaded domain.
['Field G. Van Zee', 'Tyler M. Smith', 'Bryan Marker', 'Tze Meng Low', 'Robert A. van de Geijn', 'Francisco D. Igual', 'Mikhail Smelyanskiy', 'Xianyi Zhang', 'Michael Kistler', 'Vernon Austel', 'John A. Gunnels', 'Lee Killough']
I am writing a research paper on a idea The BLIS Framework: Experiments in Portability
[{"from": "human", "value": "I am writing a research paper on a idea The BLIS Framework: Experiments in Portability"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: BLIS is a new software framework for instantiating high-performance BLAS-like dense linear algebra libraries.  demonstrate how BLIS acts as a productivity multiplier by using it to implement the level-3 BLAS on a variety of current architectures. The systems for which  demonstrate the framework include state-of-the-art general-purpose, low-por, and many-core architectures.  show, with very little effort, how the BLIS framework yields sequential and parallel implementations that are competitive with the performance of ATLAS, OpenBLAS (an effort to maintain and extend the GotoBLAS), and commercial vendor implementations such as AMD\u2019s ACML, IBM\u2019s ESSL, and Intel\u2019s MKL libraries. Although most of this article focuses on single-core implementation,  also provide compelling results that suggest the framework\u2019s leverage extends to the multithreaded domain."}]