The Kangaroo Approach to Data Movement on the Grid
HPDC '01 Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing
Introduction to the cell multiprocessor
IBM Journal of Research and Development - POWER5 and packaging
CellSort: high performance sorting on the cell processor
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Cell broadband engine architecture and its first implementation: a performance view
IBM Journal of Research and Development
Vectorized data processing on the cell broadband engine
DaMoN '07 Proceedings of the 3rd international workshop on Data management on new hardware
Dma-based prefetching for i/o-intensive workloads on the cell architecture
Proceedings of the 5th conference on Computing frontiers
Amdahl's Law in the Multicore Era
Computer
CellMR: A framework for supporting mapreduce on asymmetric cell-based clusters
IPDPS '09 Proceedings of the 2009 IEEE International Symposium on Parallel&Distributed Processing
FFTC: fastest Fourier transform for the IBM cell broadband engine
HiPC'07 Proceedings of the 14th international conference on High performance computing
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Loosing motor activity due to impaired or damaged nerves or muscles affects millions of people world-wide. The resulting lack of mobility and/or impaired communication bears enormous personal, economical and social costs. While several assistive technologies exist, they rely on device surrogates to compensate for the lack of movement and thus provide limited utility and unnatural interface with the user. The ability of interfacing populations of neurons with super high-density multielectrode arrays (SD-MEA) can provide the sensing from and control of bionics devices by thought. Here we propose a neurointerfacing approach using SD-MEAs coated with carbon nanotubes and high-speed computing to overcome latency and long-term electrical viability bottlenecks that are essential in assistive environments. The proposed approach provides ability for fast integration of recording/stimulation from thousands of individually addressable electrodes, while coordinating a real-time computing approach to register, recognize, analyze and respond appropriately to the biological signals from the motor neurons and sensory signals from the robotic prosthesis.