Texas Advanced Computing Center (TACC)

New book release from TACC's Victor Eijkhout!

A longtime expert in high performance computing, Victor supports cutting-edge research, teaches HPC at The University of Texas at Austin, and develops software for some of the world's largest supercomputers.

His latest book, Scientific Computing in Modern C++, explores modern C++ techniques for scientific computing and is now available from SIAM.

Learn more: https://lnkd.in/gAB_eSRw

TACC staff celebrated our 25th anniversary with cake and a toast to the discoveries, partnerships, and people who have shaped our journey. 🎉

That's a wrap on the 2026 WeTeach_CS Summit! 🎉

Thank you to everyone who joined us for a time of connection, collaboration, and inspiration. The annual Summit brings together educators from across Texas who are passionate about expanding access to computer science education. 🤝

WeTeach_CS advocates for every student to have access to high-quality CS education.

Texas Advanced Computing Center (TACC)
The University of Texas at Austin

Supercomputer simulations at the Texas Advanced Computing Center (TACC) and the Rochester Institute of Technology are advancing the study of black hole and binary neutron star mergers, driving new discoveries about the universe's most extreme phenomena.

"High performance computing provides the only method we have to solve the fundamental equations governing gravity and matter in these environments.” — Manuela Campanelli, Distinguished Professor of Astrophysics, Rochester Institute of Technology

Learn more: https://bit.ly/4esVPb5

Summer is just around the corner, and we’re excited to welcome a new member to the team! ☀️

Walter Moreira has joined the Cloud and Interactive Computing group at TACC as a Senior Research Software Engineer.

In this role, he will lead the design, implementation, and operation of cloud-based platforms that support and advance computational tools for the research computing community.

Join us in welcoming Walter to TACC!

Want to move beyond AI buzzwords and learn how machine learning really works?

Join us July 20–24 in Austin for an immersive, hands-on Machine Learning Summer Institute led by TACC's Data Intensive Computing team.

Designed for researchers, scientists, and industry professionals, this in-person training covers everything from machine learning fundamentals to advanced deep learning techniques using TACC's world-class supercomputing resources.

Participants will:
• Build practical machine learning skills through hands-on exercises
• Learn the principles behind modern AI and deep learning methods
• Explore how to apply machine learning to real-world research and business challenges
• Gain experience working with advanced computing systems

📍 Austin, Texas
📅 July 20–24, 2026
⏰ 9:00 am–4:00 pm

Registration closes July 6: https://web.cvent.com/event/6e81c8f8-c4c4-4fa8-9d01-227bd8b754f8/register

TACC celebrates the start of the 10th annual WeTeach_CS Summit! A record 700 educators, administrators, and policymakers are gathering in San Antonio for in-depth breakout sessions on topics like AI, networking, how to bring computer science education to your school or district, and more!

Interested in advanced computing, networking, or cyberinfrastructure at this year's SC Conference?

Applications are open for CommUNITY@SC26 and Technology Training for Non-Traditionals (TNTs), two programs that provide mentorship, hands-on experience, and professional development opportunities while helping develop the future HPC and cyberinfrastructure workforce.

Learn more and apply:
➡️ https://sc26.supercomputing.org/community-engagement/community/
➡️ https://tnts.ai/

Congratulations to TACC staff recognized with a 2026 President’s Staff Service Award from The University of Texas at Austin! (not all awardees are pictured):

10 YEARS
Marques Bland
Erik Ferlanti
Lisa Garbrecht
Craig Jansen
Ari Kahn
Andrew Solis
Virginia Trueheart

15 YEARS
Sean Cunningham
Karla Gendler
Sergio Leal
Susan Lindsey
Nathaniel Mendoza
Angela Newell
Sophia Price

20 YEARS
Victor Eijkhout
John Gentle

Interested in learning how to program and run applications on some of the world's most powerful supercomputers?

Join the Crash Course in Supercomputing on June 24, 2026 (9am–4 pm PDT), a hybrid training offered through the Berkeley Lab Computing Sciences Summer Student Program and open to users from NERSC, Argonne Leadership Computing Facility, Los Alamos National Laboratory, Oak Ridge Leadership Computing Facility, and Texas Advanced Computing Center (TACC).

Designed for novice parallel programmers, this hands-on course covers:

🔹 Fundamentals of parallel computing
🔹 MPI and OpenMP programming
🔹 Compiling and running parallel applications on a NERSC supercomputer

Training accounts will be provided for participants who do not yet have a NERSC account.

📅 Registration deadline for non-NERSC users: June 14

📍 Hybrid event
In-person location: NERSC (LBNL Building 59), Room 3101

Learn more and register: https://lnkd.in/gV7pURJR