Color is fundamental component of the world around us and our experience. It plays a key role in the understanding of our environment, from science and engineering to design and art … but how does it work ? And, what makes digital color different?
This September, renown color and visualization expert Theresa-Marie Rhyne will visit Virginia Tech to share her perspective on the theory and practice of color. With years of experience building notable visualization programs and as the author of the recent book, Applying Color Theory to Digital Media and Visualization, Theresa-Marie will visit with faculty and students as well as give a lecture to a graduate Computer Science class and to the broader University Community. Her talk is scheduled for 1 pm Monday Sept 23rd in Torgersen Hall 1100.
“Color Fundamentals for Digital Content Creation & Visualization”
Abstract: We provide an overview of the fundamentals of color theory and approaches to color selection for visualization and exploration. Our journey includes the introduction to the concepts of color models and harmony, a review of color vision principles, the defining of color gamut, spaces and systems, and highlighting online and mobile apps for performing color analyses of digital media. We feature concepts from art and design such as extending the fundamentals of the Bauhaus into digital media as well as review color perception and appearance principals from vision and visualization researchers and practitioners. Newly emerging trends in automated color selection and deep learning colorization are also noted.
About the Instructor: Theresa-Marie Rhyne is an expert in the field of computer-generated visualization and a consultant who specializes in applying artistic color theories to visualization and digital media. Her book on “Applying Color Theory to Digital Media and Visualization” was published by CRC Press in 2016 and is recognized by librarians and color professionals as a best selling reference. Her short course at the premiere conference on computer graphics and interactive techniques, SIGGRAPH 2019, was standing room only. Theresa-Marie has consulted with the Stanford University Visualization Group on a color suggestion prototype system, the Center for Visualization at the University of California at Davis and the Scientific Computing and Imaging Institute at the University of Utah on applying color theory to ensemble data visualization. Prior to her consulting work, Theresa-Marie founded two visualization centers: (1) the United States Environmental Protection Agency’s Scientific Visualization Center and (2) the Center for Visualization and Analytics at North Carolina State University.
A new collaboration is underway across the Commonwealth of Virginia as the CLAS-12 instrument comes online at Jefferson National Labs: The Center for Nuclear Femtography is a Commonwealth-funded center dedicated to imaging the heart of the atom: the nucleon. In 2018, researchers from around the state were called to the first annual Symposium on Nuclear Femtography, held in Charlottesville; later that year, a round of pilot projects were funded to build partnerships across universities and across disciplines.
As a trans-disciplinary concept, the Center for Nuclear Femtography (CNF) does not just target Virginia Physicists: such collaborations are made from experts all across the country and the world, including computer scientists, statisticians, mathematicians, and mechanical engineers to name a few. ARC faculty Nicholas Polys and Srijith Rajamohan are Co-PIs on two of these CNF pilot projects: “Visualizing Femtoscale Dynamics” and “Next-generation Visual Analysis Workspace for Multidimensional Nuclear Femtography Data”. Phase One is completing with several exchange visits, meetings and seminars, and a first set of deliverables (public soon).
The VT Center for Human Computer Interaction (CHCI) published this nice summary of our high impact work at the biggest graphics conference in the world! Dr. Polys represented ARC’s innovations in visual computing:
3D Models are increasingly valuable for safety and for scenery. ARC and CGIT collaborated to host researchers considering scenic resources inventory, including protocols and results for the Appalachian Trail:
Dr. Polys has been honored with an invitation to speak at an upcoming ISO-IEC meeting in Seoul, South Korea, Jan 21-25. Dr. Polys will be presenting on X3D/HL7 medical graphics and informatics work. Specifically, ARC’s innovations with the international interactive 3D standards X3D, H-ANIM, and HL7 FHIR and Mixed and Augmented Reality (MAR) are converging to improve health outcomes across domains and conditions. The presentations and schedule are available here ; the Web3D twitter feed is here.
VT Biochemistry had a strong showing, presenting their results on using immersive visualization in VT’s Visionarium Hypercube to engage and teach students (paper & presentation here).
The Technical Paper was presented and awarded Best Student Paper!
Dr. Srijith Rajamohan (firstname.lastname@example.org) presented a workshop on ‘Introduction to Machine Learning with TensorFlow and Keras’. The purpose of this workshop was to provide a formal introduction to the mathematical concepts underlying Machine Learning. This was augmented by hands-on examples in the Machine Learning framework TensorFlow and the Deep Learning framework Keras. The slides for this workshop can be found at https://srijithr.gitlab.io/post/pearc18/ .
Alana Romanella (email@example.com) served on the executive committee as Diversity and Workforce Development Chair and Chair Emeritus for the Student Program. She focused on promoting inclusivity through increasing individual diversity awareness skills and effective organizational systems that allowed for a more diverse conference.
Interested in joining us next year?
PEARC19, will be located in Chicago from July 28 – August 1, 2019, and will explore the current practice and experience in advanced research computing including modeling, simulation, and data-intensive computing. A primary focus next year will be on Machine Learning and Artificial Intelligence which are proving to be disruptive technologies in a diverse range of scientific fields from materials science to medicine. https://www.pearc19.pearc.org/
ARC released a new cluster named Huckleberry in late 2017. The Huckleberry system, accessed at huckleberry1.arc.vt.edu, was installed with deep learning applications in mind. To this end, it consists of 14 IBM “Minsky” S822LC nodes and NVIDIA’s proprietary NVLink interconnect network. This system enables highly parallel and highly distributed workloads. IBM unveiled its deep learning AI toolkit called PowerAI alongside the launch of Minsky nodes that leverage CPUs linked to Power CPUs with NVLink making it possible to have high speed high performance computing. PowerAI is available under /opt/DL in Huckleberry.
Each compute node on Huckleberry (i.e. IBM “Minsky” nodes) consists of :
Two IBM Power8 with 10 cores, 8 threads per core and memory bandwidth 115gb/s per socket
Four NVIDIA P100 GPUs advertised to have 21 teraFLOPS of 16-bit floating-point performance ideal for deep learning applications deliver high performance, massive parallelism
NVIDIA’s NVLink technology which provides high bandwidth data transfers between CPUs and GPUs; an improvement over PCI-Express
Mellanox EDR Infiniband (100 GB/s) interconnect used to connect compute nodes
The PowerAI toolkit contains Caffe, TensorFlow etc. which are optimized for the Power servers. IBM provides support for it as well.
While the rest of the clusters make use of the PBS batch systems, Huckleberry makes use of the Slurm batch system using the command sbatch.