Learning Objectives & Matches
Demonstrate an understanding of many features of GPU architecture design, the evolvement of various generations of GPUs.
Design computers and the software that runs them.
Write detailed functional specifications that document the hardware development process and support hardware introduction.
Design and conduct hardware or software tests.
Integrate engineering elements into unified architectural designs.
Design and develop computer hardware and support peripherals, including central processing units (CPUs), support logic, microprocessors, custom integrated circuits, and printers and disk drives.
Design, develop and modify software systems, using scientific analysis and mathematical models to predict and measure outcomes and consequences of design.
Research and test new or modified hardware or software products to determine performance and interoperability.
Prepare and deliver lectures to undergraduate or graduate students on topics such as architectural design methods, aesthetics and design, and structures and materials.
Implement changes to machine programs, and enter new specifications, using computers.
Obtain and assemble data to complete architectural designs, visiting job sites to compile measurements as necessary.
Use CUDA C to parallelize real-world applications, such as text processing, image processing and scientific computing.
Use computers for various applications, such as database management or word processing.
Program and use computers to store, process, and analyze data.
Process large amounts of data for statistical modeling and graphic analysis, using computers.
Adapt or design computer hardware or software for medical science uses.
Write and execute scripts to automate tasks, such as parsing large data files.
Oversee the daily performance of computer systems.
Confer with clients regarding the nature of the information processing or computation needs a computer program is to address.
Integrate software or hardware components, using computer, microprocessor, or control architecture.
Design and develop computer hardware and support peripherals, including central processing units (CPUs), support logic, microprocessors, custom integrated circuits, and printers and disk drives.
Draw and print charts, graphs, illustrations, and other artwork, using computer.
Apply GPU parallel patterns to real-world problems, such as sorting, reduction, prefix sum and stencil computing algorithms.
Develop computational methods for solving problems that occur in areas of science and engineering or that come from applications in business or industry.
Design and apply bioinformatics algorithms including unsupervised and supervised machine learning, dynamic programming, or graphic algorithms.
Analyze problems to develop solutions involving computer hardware and software.
Position and cut out master or sample patterns, using scissors and knives, or print out copies of patterns, using computers.
Compute data, such as gear dimensions or machine settings, applying knowledge of shop mathematics.
Break systems into their components, assign numerical values to each component, and examine the mathematical relationships between them.
Determine reference points, machine cutting paths, or hole locations, and compute angular and linear dimensions, radii, and curvatures.
Verify dimensions of completed patterns, using templates, straightedges, calipers, or protractors.
Process large amounts of data for statistical modeling and graphic analysis, using computers.
Develop or implement data analysis algorithms.
Demonstrate an understanding of different types of GPU memory and effectively use shared memory and constant memory to further improve performance.
Analyze user needs and recommend appropriate hardware.
Recommend and implement performance improvements.
Identify, evaluate and recommend hardware or software technologies to achieve desired database performance.
Identify, evaluate and recommend hardware or software technologies to achieve desired database performance.
Prepare evaluations of software or hardware, and recommend improvements or upgrades.
Program and use computers to store, process, and analyze data.
Update existing equipment, performing tasks such as installing updated circuit boards or additional memory.
Research and test new or modified hardware or software products to determine performance and interoperability.
Oversee the daily performance of computer systems.
Monitor program performance to ensure efficient and problem-free operations.
Use underlying concepts to identify factors that bottleneck performance, so that they can write efficient and high-performance parallel programs on GPUs.
Monitor program performance to ensure efficient and problem-free operations.
Recommend and implement performance improvements.
Analyze, interpret, or disseminate system performance data.
Check and analyze operating system or application log files regularly to verify proper system performance.
Modify existing programs to enhance efficiency.
Analyze system performance or operational requirements.
Identify, evaluate and recommend hardware or software technologies to achieve desired database performance.
Identify, evaluate and recommend hardware or software technologies to achieve desired database performance.
Investigate or resolve operational problems, such as material use variances or bottlenecks.
Visit beta testing sites to evaluate software performance.