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Charles Reiss
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2020 – today
- 2023
- [c9]Charles Reiss, Luther A. Tychonievich:
Experiences with a Hardware Description Language for a CS-major's Computer Organization Course. FIE 2023: 1-9 - 2022
- [c8]Haoyu Wang, Kevin Zheng, Charles Reiss, Haiying Shen:
NCC: Neighbor-aware Congestion Control based on Reinforcement Learning for Datacenter Networks. ICPP 2022: 62:1-62:10 - 2020
- [c7]Ian Walk, Arnold Yim, Ed Novak, Charles Reiss, Daniel Graham:
Redesigning the Online Video Lecture Player to Promote Active Learning. FIE 2020: 1-5 - [c6]Haoyu Wang, Haiying Shen, Charles Reiss, Arnim Jain, Yunqiao Zhang:
Improved Intermediate Data Management for MapReduce Frameworks. IPDPS 2020: 536-545
2010 – 2019
- 2016
- [b1]Charles Reiss:
Understanding Memory Configurations for In-Memory Analytics. University of California, Berkeley, USA, 2016 - 2013
- [j1]Ariel Rabkin, Charles Reiss, Randy H. Katz, David A. Patterson:
Using clouds for MapReduce measurement assignments. ACM Trans. Comput. Educ. 13(1): 2:1-2:18 (2013) - [c5]Charles Reiss, Randy H. Katz:
Recommending just enough memory for analytics. SoCC 2013: 49:1-49:2 - 2012
- [c4]Charles Reiss, Alexey Tumanov, Gregory R. Ganger, Randy H. Katz, Michael A. Kozuch:
Heterogeneity and dynamicity of clouds at scale: Google trace analysis. SoCC 2012: 7 - [c3]Charles Reiss, John Wilkes, Joseph L. Hellerstein:
Obfuscatory obscanturism: Making workload traces of commercially-sensitive systems safe to release. NOMS 2012: 1279-1286 - [c2]Ariel Rabkin, Charles Reiss, Randy H. Katz, David A. Patterson:
Experiences teaching MapReduce in the cloud. SIGCSE 2012: 601-606
2000 – 2009
- 2006
- [c1]Rajnish Kumar, Santashil PalChaudhuri, Charles Reiss, Umakishore Ramachandran:
System Support for Cross-Layering in Sensor Network Stack. MSN 2006: 793-807
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