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  • Dibakar Gope, Mikko H. Lipasti
  • Computer Science
  • 47th Annual IEEE/ACM International Symposium on…
  • 2014 (First Publication: 13 December 2014)
  • Prior research in neutrally-inspired perceptron predictors and Geometric History Length-based TAGE predictors has shown significant improvements in branch prediction accuracy by exploitingContinue Reading
  • Dibakar Gope, Mikko H. Lipasti
  • Computer Science
  • IEEE 20th International Symposium on High…
  • 2014 (First Publication: 1 February 2014)
  • Sequential consistency is arguably the most intuitive memory consistency model for shared-memory multi-threaded programming, yet it appears to be a poor fit for simple, in-order processors that areContinue Reading
  • Urmish Thakker, Jesse G. Beu, Dibakar Gope, Ganesh Dasika, Matthew Mattina
  • Mathematics, Computer Science
  • 2nd Workshop on Energy Efficient Machine Learning…
  • 2019 (First Publication: 1 February 2019)
  • Recurrent neural networks can be large and compute-intensive, yet many applications that benefit from RNNs run on small devices with very limited compute and storage capabilities while still havingContinue Reading
  • Dibakar Gope, Mikko H. Lipasti
  • Computer Science
  • International Conference on Parallel Architecture…
  • 2016 (First Publication: 11 September 2016)
  • Scripting languages like Javascript and PHP are widely used to implement application logic for dynamically-generated web pages. Their popularity is due in large part to their flexible syntax andContinue Reading