UC San Diego Launches Data Science Institute

March 1, 2018

March 1 — A new institute at the University of California San Diego, which will be celebrated tomorrow at a campus dedication, is building on the university’s strengths of multidisciplinary collaboration and data science to allow researchers across the campus to incorporate data science into their respective disciplines to better understand and make predictions about the world around us.

The cross-disciplinary Halicioğlu Data Science Institute, or HDSI, will become the campus hub fordata science. It will help train students in the latest data-science techniques and transform the research of scholars who are now increasingly limited in making progress in their disciplines because of the need to make sense of the massive amounts of data generated from their research.

Rajesh Gupta, a professor of computer science and engineering, and Jeffrey Elman, professor of cognitive science, are the co-directors of the new institute, which will be showcased in a student workshop on data science on Friday following the invitation-only dedication. Elman is former dean of the Division of Social Sciences at UC San Diego, and Gupta is a former chair of the Department of Computer Science and Engineering in the Jacobs School of Engineering.

From left, Rajesh Gupta and Jeffrey Elman (Source: UC San Diego)

“Professors Gupta and Elman are among this university’s most distinguished faculty members and administrators, and they are uniquely positioned—with input and expertise from many other departments—to make UC San Diego one of the world’s leading academic centers of excellence in the burgeoning field of data science,” said UC San Diego Chancellor Pradeep K. Khosla. “We have a long history of deciphering insights from large volumes of data, and we have been doing so since long before the term ‘data science’ was coined.”

The institute is named in honor of UC San Diego computer science alumnus Taner Halicioğlu (pronounced hah-li-jyo-loo) (B.S. ’96), an early Facebook employee who last spring made a $75 million gift to UC San Diego to support data science initiatives. The gift from Halicioğlu was the largest ever received from a UC San Diego alumnus. In addition to Facebook, he also worked at eBay and Blizzard Entertainment, and currently is a private investor as well as a lecturer in the Department of Computer Science and Engineering.

Halicioğlu hopes the new institute will promote a cross-disciplinary field that is considered the backbone of many other disciplines.

Data science is transforming biology, physics, chemistry, medicine, math and many other fields in addition to computer science,” he explained. “Take personalized medicine and genomics. Gathering, sequencing, analyzing and storing an individual’s genetic makeup will allow physicians to find causes and correlations that can determine how things are related and what they reveal. That’s the kind of fundamental transformation data science is bringing to almost every field.”

The new institute will host faculty as well as staff researchers, and faculty appointments can be split across other centers and departments. In addition, dozens or even hundreds of professors from other departments are expected to “affiliate” with the data science institute—making them eligible to compete for seed grants, collaborate with data science scholars and gain access to the institute’sdata-science expertise.

The Institute will sponsor seminars and provide seed grants to affiliated faculty and researchers for demonstration projects where data science is having an impact.

“From the outset,” said institute co-director Gupta, “we are encouraging researchers across campus to engage with us in order to put the institute’s combined expertise in data science to work in helping enable new research in many fields.”

As part of its academic mission, the institute is also developing a pathway to a 5-year B.S./M.S. degree program that would include a data science specialization at the master’s degree level for students interested in specific areas of data science, including health informatics, business analytics, biostatistics or digital archaeology.

The institute will also develop translational programs, ranging from short-term training programs to engagement with industry (via internships and sponsored research). In addition, the institute will collaborate with civil organizations to maintain, manage or develop policies for infrastructure that benefits society, including in healthcare, transportation, energy, water and other sectors.

“It was inevitable that UC San Diego should make a massive investment in training tomorrow’s students in data science,” said Gupta. “UC San Diego is a pioneer in many fields that have contributed to what we call data science today—from artificial intelligence and machine learning to genomics and computational biology—and we’ve had long experience with developing other successful multi-disciplinary programs, for example, in neuroscience and bioinformatics, and other research units such as the Qualcomm Institute. So the campus is the logical home for an institute that impacts society and the economy in a big way.”

Indeed, Gupta’s co-director of the institute, Jeffrey Elman, is a pioneer in the field. A psycholinguist by training, Elman—a member of the UC San Diego faculty since 1977—is credited with introducing the concept of recurrent artificial neural networks that can learn from observing data sets.

With his groundbreaking 1990 paper on “Finding Structure in Time,” Elman conceived and first used a neural network that introduced a new way of thinking about language processing and learning. His work led to the creation of computational models based on the structure and functions of biological networks linking neurons in the brain.

“It’s these software versions of tiny neurons whose structure allows them to make changes to their own programming in order to discern new insights from large volumes of data,” said Elman. “Artificial neural networks are now the building blocks of not just data science, but of machine learning and artificial intelligence as well, and they are central to major new approaches in cognitive science, computer science, evolutionary theory, developmental psychology and other fields.”

The implications of neural nets and data science are not just academic. Banks and credit-card issuers, for example, use neural networking to predict fraudulent charges – or borrowers who might not pay their bills.

The new institute has also forged close ties with other ongoing research units at UC San Diego, including the Kavli Institute for Brain and Mind, Information Theory and Applications Center, the SDSC Data Hub, and others. HDSI will also support a collection of working groups which could lead to large-scale projects, or to define research topic areas, such as biological databases, smart cities, metadata models.

The institute will be located in several locations on the UC San Diego campus, reflecting its goal of catalyzing and integrating work across all units of the university. The initial administration and research labs will be in the San Diego Supercomputer Center, while Student Affairs will be in Atkinson Hall. Future satellite hubs are envisioned at other sites.


Source: UC San Diego

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industy updates delivered to you every week!

Rockport Networks Launches 300 Gbps Switchless Fabric, Reveals 396-Node Deployment at TACC

October 27, 2021

Rockport Networks emerged from stealth this week with the launch of its 300 Gbps switchless networking architecture focused on the needs of the high-performance computing and the advanced-scale AI market. Early customers Read more…

AWS Adds Gaudi-Powered, ML-Optimized EC2 DL1 Instances, Now in GA

October 27, 2021

As machine learning becomes a dominating use case for local and cloud computing, companies are racing to provide solutions specifically optimized and accelerated for AI applications. Now, Amazon Web Services (AWS) is int Read more…

Fireside Chat with LBNL’s Advanced Quantum Testbed Director

October 26, 2021

Last week, Irfan Siddiqi led a “fireside chat” with a few media and analysts to introduce the Department of Energy’s relatively new Advanced Quantum Testbed (AQT), which is based at Lawrence Berkeley National Labor Read more…

Graphcore Introduces Larger-Than-Ever IPU-Based Pods

October 22, 2021

After launching its second-generation intelligence processing units (IPUs) in 2020, four years after emerging from stealth, Graphcore is now boosting its product line with its largest commercially-available IPU-based sys Read more…

Quantum Chemistry Project to Be Among the First on EuroHPC’s LUMI System

October 22, 2021

Finland’s CSC has just installed the first module of LUMI, a 550-peak petaflops system supported by the European Union’s EuroHPC Joint Undertaking. While LUMI -- pictured in the header -- isn’t slated to complete i Read more…

AWS Solution Channel

Royalty-free stock illustration ID: 577238446

Putting bitrates into perspective

Recently, we talked about the advances NICE DCV has made to push pixels from cloud-hosted desktops or applications over the internet even more efficiently than before. Read more…

Killer Instinct: AMD’s Multi-Chip MI200 GPU Readies for a Major Global Debut

October 21, 2021

AMD’s next-generation supercomputer GPU is on its way – and by all appearances, it’s about to make a name for itself. The AMD Radeon Instinct MI200 GPU (a successor to the MI100) will, over the next year, begin to power three massive systems on three continents: the United States’ exascale Frontier system; the European Union’s pre-exascale LUMI system; and Australia’s petascale Setonix system. Read more…

Rockport Networks Launches 300 Gbps Switchless Fabric, Reveals 396-Node Deployment at TACC

October 27, 2021

Rockport Networks emerged from stealth this week with the launch of its 300 Gbps switchless networking architecture focused on the needs of the high-performance Read more…

AWS Adds Gaudi-Powered, ML-Optimized EC2 DL1 Instances, Now in GA

October 27, 2021

As machine learning becomes a dominating use case for local and cloud computing, companies are racing to provide solutions specifically optimized and accelerate Read more…

Fireside Chat with LBNL’s Advanced Quantum Testbed Director

October 26, 2021

Last week, Irfan Siddiqi led a “fireside chat” with a few media and analysts to introduce the Department of Energy’s relatively new Advanced Quantum Testb Read more…

Killer Instinct: AMD’s Multi-Chip MI200 GPU Readies for a Major Global Debut

October 21, 2021

AMD’s next-generation supercomputer GPU is on its way – and by all appearances, it’s about to make a name for itself. The AMD Radeon Instinct MI200 GPU (a successor to the MI100) will, over the next year, begin to power three massive systems on three continents: the United States’ exascale Frontier system; the European Union’s pre-exascale LUMI system; and Australia’s petascale Setonix system. Read more…

D-Wave Embraces Gate-Based Quantum Computing; Charts Path Forward

October 21, 2021

Earlier this month D-Wave Systems, the quantum computing pioneer that has long championed quantum annealing-based quantum computing (and sometimes taken heat fo Read more…

LLNL Prepares the Water and Power Infrastructure for El Capitan

October 21, 2021

When it’s (ostensibly) ready in early 2023, El Capitan is expected to deliver in excess of two exaflops of peak computing power – around four times the powe Read more…

Intel Reorgs HPC Group, Creates Two ‘Super Compute’ Groups

October 15, 2021

Following on changes made in June that moved Intel’s HPC unit out of the Data Platform Group and into the newly created Accelerated Computing Systems and Graphics (AXG) business unit, led by Raja Koduri, Intel is making further updates to the HPC group and announcing... Read more…

Quantum Workforce – NSTC Report Highlights Need for International Talent

October 13, 2021

Attracting and training the needed quantum workforce to fuel the ongoing quantum information sciences (QIS) revolution is a hot topic these days. Last week, the U.S. National Science and Technology Council issued a report – The Role of International Talent in Quantum Information Science... Read more…

Enter Dojo: Tesla Reveals Design for Modular Supercomputer & D1 Chip

August 20, 2021

Two months ago, Tesla revealed a massive GPU cluster that it said was “roughly the number five supercomputer in the world,” and which was just a precursor to Tesla’s real supercomputing moonshot: the long-rumored, little-detailed Dojo system. Read more…

Esperanto, Silicon in Hand, Champions the Efficiency of Its 1,092-Core RISC-V Chip

August 27, 2021

Esperanto Technologies made waves last December when it announced ET-SoC-1, a new RISC-V-based chip aimed at machine learning that packed nearly 1,100 cores onto a package small enough to fit six times over on a single PCIe card. Now, Esperanto is back, silicon in-hand and taking aim... Read more…

US Closes in on Exascale: Frontier Installation Is Underway

September 29, 2021

At the Advanced Scientific Computing Advisory Committee (ASCAC) meeting, held by Zoom this week (Sept. 29-30), it was revealed that the Frontier supercomputer is currently being installed at Oak Ridge National Laboratory in Oak Ridge, Tenn. The staff at the Oak Ridge Leadership... Read more…

Intel Reorgs HPC Group, Creates Two ‘Super Compute’ Groups

October 15, 2021

Following on changes made in June that moved Intel’s HPC unit out of the Data Platform Group and into the newly created Accelerated Computing Systems and Graphics (AXG) business unit, led by Raja Koduri, Intel is making further updates to the HPC group and announcing... Read more…

Ahead of ‘Dojo,’ Tesla Reveals Its Massive Precursor Supercomputer

June 22, 2021

In spring 2019, Tesla made cryptic reference to a project called Dojo, a “super-powerful training computer” for video data processing. Then, in summer 2020, Tesla CEO Elon Musk tweeted: “Tesla is developing a [neural network] training computer... Read more…

Intel Completes LLVM Adoption; Will End Updates to Classic C/C++ Compilers in Future

August 10, 2021

Intel reported in a blog this week that its adoption of the open source LLVM architecture for Intel’s C/C++ compiler is complete. The transition is part of In Read more…

Hot Chips: Here Come the DPUs and IPUs from Arm, Nvidia and Intel

August 25, 2021

The emergence of data processing units (DPU) and infrastructure processing units (IPU) as potentially important pieces in cloud and datacenter architectures was Read more…

AMD-Xilinx Deal Gains UK, EU Approvals — China’s Decision Still Pending

July 1, 2021

AMD’s planned acquisition of FPGA maker Xilinx is now in the hands of Chinese regulators after needed antitrust approvals for the $35 billion deal were receiv Read more…

Leading Solution Providers

Contributors

Intel Unveils New Node Names; Sapphire Rapids Is Now an ‘Intel 7’ CPU

July 27, 2021

What's a preeminent chip company to do when its process node technology lags the competition by (roughly) one generation, but outmoded naming conventions make i Read more…

HPE Wins $2B GreenLake HPC-as-a-Service Deal with NSA

September 1, 2021

In the heated, oft-contentious, government IT space, HPE has won a massive $2 billion contract to provide HPC and AI services to the United States’ National Security Agency (NSA). Following on the heels of the now-canceled $10 billion JEDI contract (reissued as JWCC) and a $10 billion... Read more…

Quantum Roundup: IBM, Rigetti, Phasecraft, Oxford QC, China, and More

July 13, 2021

IBM yesterday announced a proof for a quantum ML algorithm. A week ago, it unveiled a new topology for its quantum processors. Last Friday, the Technical Univer Read more…

The Latest MLPerf Inference Results: Nvidia GPUs Hold Sway but Here Come CPUs and Intel

September 22, 2021

The latest round of MLPerf inference benchmark (v 1.1) results was released today and Nvidia again dominated, sweeping the top spots in the closed (apples-to-ap Read more…

10nm, 7nm, 5nm…. Should the Chip Nanometer Metric Be Replaced?

June 1, 2020

The biggest cool factor in server chips is the nanometer. AMD beating Intel to a CPU built on a 7nm process node* – with 5nm and 3nm on the way – has been i Read more…

Julia Update: Adoption Keeps Climbing; Is It a Python Challenger?

January 13, 2021

The rapid adoption of Julia, the open source, high level programing language with roots at MIT, shows no sign of slowing according to data from Julialang.org. I Read more…

Frontier to Meet 20MW Exascale Power Target Set by DARPA in 2008

July 14, 2021

After more than a decade of planning, the United States’ first exascale computer, Frontier, is set to arrive at Oak Ridge National Laboratory (ORNL) later this year. Crossing this “1,000x” horizon required overcoming four major challenges: power demand, reliability, extreme parallelism and data movement. Read more…

D-Wave Embraces Gate-Based Quantum Computing; Charts Path Forward

October 21, 2021

Earlier this month D-Wave Systems, the quantum computing pioneer that has long championed quantum annealing-based quantum computing (and sometimes taken heat fo Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire