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  • Minsoo Rhu, Natalia Gimelshein, Jason Clemons, Arslan Zulfiqar, Stephen W. Keckler
  • Computer Science
  • 49th Annual IEEE/ACM International Symposium on…
  • 2016 (First Publication: 25 February 2016)
  • The most widely used machine learning frameworks require users to carefully tune their memory usage so that the deep neural network (DNN) fits into the DRAM capacity of a GPU. This restrictionContinue Reading
  • Minsoo Rhu, Mike O'Connor, Niladrish Chatterjee, Jeff Pool, Stephen W. Keckler
  • Computer Science, Mathematics
  • IEEE International Symposium on High Performance…
  • 2017 (First Publication: 3 May 2017)
  • Popular deep learning frameworks require users to fine-tune their memory usage so that the training data of a deep neural network (DNN) fits within the GPU physical memory. Prior work tries toContinue Reading
  • Minsoo Rhu, I.-C. Park
  • Computer Science
  • IEEE Transactions on Circuits and Systems for…
  • 2010 (First Publication: 1 March 2010)
  • Embedded block coding with optimized truncation (EBCOT) employed in the JPEG2000 standard accounts for the majority of the processing time, because the EBCOT is full of bit operations that cannot beContinue Reading