CUDA at Scale for the Enterprise

Johns Hopkins University in Baltimore, founded in 1876, is a leading research university with a global reputation for excellence across medicine, public health, engineering, the arts and sciences. The university enrolls around 32,049 students, including approximately 5,233 international scholars, and offers an extensive portfolio of programs—about 238—across undergraduate, graduate and professional levels.

Johns Hopkins emphasizes research-led education, interdisciplinary collaboration and hands-on learning through labs, clinics and community partnerships. International students can access comprehensive support services for admissions, visas, academic advising and career development, and can participate in research opportunities, internships and global exchange programs that enhance professional prospects and real-world experience.

Baltimore’s urban setting provides access to vibrant cultural life, medical centers and industry partners, making it well suited for students interested in translational research and public service. The university’s strong alumni network, career services and industry links help graduates move into competitive roles worldwide, while campus resources support wellbeing, student activities and a diverse international community.

CUDA at Scale for the Enterprise is a non-degree program at Johns Hopkins University, taught in English, that helps students scale the use of GPUs and CPUs. It lasts several weeks and helps students develop software that can use multiple CPUs and GPUs.

The curriculum covers managing asynchronous workflows, sending and receiving events, and implementing software using CUDA techniques and libraries. Students learn to apply GPUs to data sorting and image processing, and develop skills in parallel programming and C/C++.

Graduates can pursue careers as software developers, data scientists, or high-performance computing specialists, working in fields like data processing and machine learning. They can work as GPU Software Engineers, High-Performance Computing Architects, or Data Processing Specialists, and can be employed by companies like NVIDIA, Google, or Microsoft.