Low-Resource Speech Recognition of 500-Word Vocabularies
Sabine Deligne, Ellen Eide, et al.
INTERSPEECH - Eurospeech 2001
Neural tissue simulation extends requirements and constraints of previous neuronal and neural circuit simulation methods, creating a tissue coordinate system. We have developed a novel tissue volume decomposition, and a hybrid branched cable equation solver. The decomposition divides the simulation into regular tissue blocks and distributes them on a parallel multithreaded machine. The solver computes neurons that have been divided arbitrarily across blocks. We demonstrate thread, strong, and weak scaling of our approach on a machine with more than 4000 nodes and up to four threads per node. Scaling synapses to physiological numbers had little effect on performance, since our decomposition approach generates synapses that are almost always computed locally. The largest simulation included in our scaling results comprised 1 million neurons, 1 billion compartments, and 10 billion conductance-based synapses and gap junctions. We discuss the implications of our ultrascalable Neural Tissue Simulator, and with our results estimate requirements for a simulation at the scale of a human brain.
Sabine Deligne, Ellen Eide, et al.
INTERSPEECH - Eurospeech 2001
Maurice Hanan, Peter K. Wolff, et al.
DAC 1976
Rafae Bhatti, Elisa Bertino, et al.
Communications of the ACM
Raghu Krishnapuram, Krishna Kummamuru
IFSA 2003