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• 2019

  BRACELET: Edge-Cloud Microservice Infrastructure for Aging Scientific Instruments

  Nguyen, P., Elgamal, T., Konstanty, S., Nicholson, T., Turner, S., Su, P., Nahrstedt, K., Spila, T., Campbell, R. H., Dallesasse, J., Chan, M. & Mchenry, K., Apr 8 2019, 2019 International Conference on Computing, Networking and Communications, ICNC 2019. Institute of Electrical and Electronics Engineers Inc., p. 692-696 5 p. 8685528. (2019 International Conference on Computing, Networking and Communications, ICNC 2019).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Aging of materials
  • Metadata
  • Network performance
  • Semiconductor materials
  • Fabrication

• Consistent and durable data structures for non-volatile byte-addressable memory

  Venkataraman, S., Tolia, N., Ranganathan, P. & Campbell, R. H., 2019, Proceedings of FAST 2011: 9th USENIX Conference on File and Storage Technologies. USENIX Association, p. 61-75 15 p. (Proceedings of FAST 2011: 9th USENIX Conference on File and Storage Technologies).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Data structures
  • Data storage equipment
  • Phase change memory
  • Throughput
  • Memristors

• Curios: Improving reliability through operating system structure

  David, F. M., Chan, E. M., Carlyle, J. C. & Campbell, R. H., Jan 1 2019, Proceedings of the 8th USENIX Symposium on Operating Systems Design and Implementation, OSDI 2008. USENIX Association, p. 59-72 14 p. (Proceedings of the 8th USENIX Symposium on Operating Systems Design and Implementation, OSDI 2008).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Experiments

• Cybersecurity Ethics

  Blanken-Webb, J., Palmer, I., Campbell, R., Burbules, N. C. & Bashir, M. N., 2019, Foundations of Information Ethics. Burgess, J. T. F. & Knox, E. J. M. (eds.). ALA Neal-Schuman

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

• Fast generation for convolutional autoregressive models

  Ramachandran, P., Le Paine, T., Khorrami, P., Babaeizadeh, M., Chang, S., Zhang, Y., Hasegawa-Johnson, M., Campbell, R. & Huang, T., 2019.

  Research output: Contribution to conference › Paper › peer-review

  • Model-making
  • training method
  • Cache
  • Nave
  • Performance Art

• Model-Based Reinforcement Learning for Atari

  Campbell, R., Mar 2019.

  Research output: Contribution to conference › Paper

  • Reinforcement learning
  • Learning algorithms
  • Experiments

• Shared polygenic risk and causal inferences in amyotrophic lateral sclerosis

  The ITALSGEN Consortium & The International ALS Genomics Consortium, Apr 2019, In: Annals of Neurology. 85, 4, p. 470-481 12 p.

  Research output: Contribution to journal › Article › peer-review

  • Amyotrophic Lateral Sclerosis
  • Linkage Disequilibrium
  • Genome-Wide Association Study
  • Random Allocation
  • Smoking

• Tensorflow-tracing: A performance tuning framework for production

  Hashemi, S. H., Rausch, P., Rabe, B., Chou, K. Y., Liu, S., Kindratenko, V. & Campbell, R. H., 2019, Proceedings of the 2019 USENIX Conference on Operational Machine Learning, OpML 2019. USENIX Association, p. 31-33 3 p. (Proceedings of the 2019 USENIX Conference on Operational Machine Learning, OpML 2019).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution