2 were found based on your criteria

  • Hourly – 3 to 6 months – 10-30 hrs/week – Posted
    My clients are looking to outsource their analytics function by moving it to CUDA AI environment. The group currently has several people: senior PhD's and and a few assistants with Masters degree, all working full time on rating loan portfolios. They are currently using R environment to run daily reports scoring loans and loan applications with a variety of algorithms (k-means, etc) . The system is time-consuming and inefficient. We would like to streamline these processes while improving the accuracy ...
  • Hourly – Less than 1 month – 10-30 hrs/week – Posted
    1、this project calculate inversion and Eigenvalue (Eigenvector) of the complex matrix with CUDA. 2、we need to optimize it without use cublas or magma or other libraries. 3、the dimension is about 100 to 3000(3000 is max ) 4、the input matrix is float_complex(c99),we can generate it with rand(); 5、the result must be more efficient than cublas and mkl and be accurate 6、file (README and doc )about the project is necessarity. 7、my environment is ...