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#1
Break- Sponsored by Lenovo
#2
Registration
#3
Introduction to Numpy/Scipy
#4
HPC Carpentry
#5
RMACC SysAdmins Round Up/ HTTP Needs for HPC: Improving Access
#6
Introduction to Numpy/Scipy
#7
Poster Judging Session
#8
Analyzing Structured Data with Python and Pandas
#9
Fundamentals of Accelerated Computing with OpenACC
#10
Fundamentals of Accelerated Computing with OpenACC (Cont’d) Accelerating Applications on GPU Devices for Maximum Performance
#11
HPC Carpentry
#12
Analyzing Structured Data with Python and Pandas
#13
Architecting Science Application for Exascale
#14
Lunch- Sponsored by Pure Storage
#15
Networking Break
#16
Breakfast- Sponsored by Intel and Registration
#17
Welcome and Poster Presentations
#18
Breaking the Glass Ceiling: Successfully Identifying and Addressing Selection Bias in a Student Program
#19
HPC in Data Science and Machine Learning
#20
Reception Welcome and Poster Winner- Sponsored by HPE
#21
Reception- Sponsored by HPE
#22
Red Hat: Linux Container Security
#23
Break- Sponsored by Mark III Systems
#24
Red Hat: New Container Technologies and Security
#25
Networking Break
#26
Networking Break
#27
The Convergence of HPC and AI (Intel Sponsored Session)
#28
Best practices for running a student employee program
#29
Kubernetes and Developing a Highly Available Application Portfolio
#30
Research reincarnation: steps to improve the reproducibility of your research
#31
Toward data immortality: preserving your research legacy by publishing research data
#32
Best practices for writing an RFP for HPC Hardware Purchases
#33
Marketing yourself to Employers
#34
Towards Shared Cyberinfrastructure in the RMACC region
#35
Cradle to Grave: Planning your data life cycle
#36
Breakfast and Registration
#37
Networking Break
#38
Containers: What, How, Why, Security and Scientific Workloads?
#39
Lunch- Sponsored by Rescale
#40
Break- Sponsored by Dell
#41
Lessons learned building and operating Jetstream
#42
Congratulations – your new Data Center has been value-engineered!
#43
Scientific Visualization with Bokeh
#44
Parallel data analysis and machine learning using the Python package ipyparallel
#45
Achieving High Performance Python in Modern HPC Workflow
#46
PySpark XSEDE- Part One
#47
Workflow Tools
#48
Data Visualization in Web Browsers with JavaScript APIs
#49
High Throughput Computation on the Open Science Grid
#50
Mpi4Py
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