1 GPU 2 GPUs MKLMATRIX SIZE GPUIntel Xeon ES2670 Sandy Bridge2 x 8 cores 260 GHz CPU FIND OUT MORE AThttpkeenelandgatecheduNVIDIA146s CUDA Center of AWARDFEATURES AND SUPPORT FIND OUT ID: 375081
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MAGMA (Matrix Algebra on GPU and Multicore Architectures) is a collection of next generation linear algebra libraries for MAGMA is designed and implemented by the team that developed LAPACK and ScaLAPACK, runtime systems. Interfaces for the current LAPACK and BLAS standards are supported to allow computational scientists to seamlessly port any linear algebra reliant software components to heterogeneous architectures. MAGMA allows applications to fully PERFORMANCEMAGMA on Kepler K40 1 GPU 2 GPUs MKLMATRIX SIZE GPUIntel Xeon ES-2670 (Sandy Bridge)2 x 8 cores @ 2.60 GHz CPU FIND OUT MORE AThttp://keeneland.gatech.edu/NVIDIA’s CUDA Center of AWARDFEATURES AND SUPPORT FIND OUT MORE AT 1.4.1 FOR CUDAcl1.1 FOR OpenCL MAGMA MIC 1.1 FOR Intel Xeon Phi LAPACK testing IN COLLABORATION WITH SPONSORED BY WITH SUPPORT FROM HYBRID ALGORITHMS National Science Foundation FIND OUT MORE AT IN COLLABORATION WITH SPONSORED BY WITH SUPPORT FROM National Science Foundation MULTI-GPUSingular Value Problem (SVP)Hybrid LAPACK algorithms with static scheduling and LAPACK MULTI-GPUHybrid LAPACK algorithms with 1D LAPACK data layoutMATRIXOPERATIONINTERFACESABBREVIATIONSTriangular EQUATIONSSTANDARDSTAND. EQUATIONSFACTORIZATIONSSTANDARDTridiagonalizationMATRIXOPERATIONCOMPUTATIONAL ROUTINESINTERFACES NAMING CONVENTIONmagma_{routine name}[_gpu]