论文信息 - From GPGPU to Many-Core: Nvidia Fermi and Intel Many Integrated Core Architecture

From GPGPU to Many-Core: Nvidia Fermi and Intel Many Integrated Core Architecture

Comparing the architectures and performance levels of an Nvidia Fermi accelerator with an Intel MIC Architecture coprocessor demonstrates the benefit of the coprocessor for bringing highly parallel applications into, or even beyond, GPGPU performance regions.

Michael Klemm | Hans-Joachim Bungartz | Alexander Heinecke

[1] Michael Klemm,et al. Extending a Highly Parallel Data Mining Algorithm to the Intel ® Many Integrated Core Architecture , 2011, Euro-Par Workshops.

[2] H. Bungartz,et al. Sparse grids , 2004, Acta Numerica.

[3] Dirk Pflüger,et al. Multi- and many-core data mining with adaptive sparse grids , 2011, CF '11.

[4] Alexander Heinecke,et al. Making TifaMMy fit for tomorrow: Towards future shared memory systems and beyond , 2011, 2011 International Conference on High Performance Computing & Simulation.

[5] Dirk Pflüger,et al. Spatially Adaptive Sparse Grids for High-Dimensional Problems , 2010 .

[6] Pradeep Dubey,et al. Larrabee: A Many-Core x86 Architecture for Visual Computing , 2009, IEEE Micro.