Exploring ASIC Design Space at System Level with a Neural Network EstimatorVisa övriga samt affilieringar
1994 (Engelska)Ingår i: Proc. of IEEE ASIC-conference, 1994, 1994Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]
Estimators are critical tools in doing architectural level exploration of the design space. We present a novel approach to estimation based on the multilayer perceptron which builds the estimation function during the learning process and thus allows to describe arbitrary complex functions. We also describe how the control data flow graph is encoded for the neural network input and we present results of the first experiments made with realistic design examples.
Ort, förlag, år, upplaga, sidor
1994.
Nationell ämneskategori
Elektroteknik och elektronik
Identifikatorer
URN: urn:nbn:se:kth:diva-89937OAI: oai:DiVA.org:kth-89937DiVA, id: diva2:503980
Konferens
7th Annual IEEE international ASIC-conference, ASIC'94
Anmärkning
QC 20121121
2012-02-172012-02-172023-07-31Bibliografiskt granskad