astronomy

Kevin Skadron

Kevin Skadron is a astronomy topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Kevin Skadron rather than just read about it. In short: Kevin Skadron is an American computer scientist, the Harry Douglas Forsyth Professor of Computer Science. He served as department chair and served as Director of the SRC JUMP Center for Research on Intelligent Storage and Processing in Memory (CRISP), and the Center for Automata Processing (CAP), at the University of Virginia, Charlottesville, Virginia.

Key takeaways

Kevin Skadron belongs to astronomy; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Kevin Skadron to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Kevin Skadron from memory before moving on to harder problems.

Reference excerpt

Kevin Skadron is an American computer scientist, the Harry Douglas Forsyth Professor of Computer Science. He served as department chair and served as Director of the SRC JUMP Center for Research on Intelligent Storage and Processing in Memory (CRISP), and the Center for Automata Processing (CAP), at the University of Virginia, Charlottesville, Virginia. His research focuses on computer processor design and memory system design under physical constraints such as temperature, power, and reliability. He and his colleagues have contributed numerous tools now widely used in the research community, including the HotSpot family of tools, the Rodinia Benchmark Suite, and the PIMeval/PIMbench/PIM API for processing in memory. Skadron also helped co-found IEEE Computer Architecture Letters and served as editor-in-chief from 2010 to 2012.

Education and career Skadron received his BS in Electrical and Computer Engineering and his BA in economics from Rice University in 1994. He then moved to Princeton University, pursuing doctoral research in Computer Science, with Doug Clark as his dissertation advisor and Margaret Martonosi as co-advisor. He earned his PhD in 1999. He became an assistant professor of computer science at the University of Virginia in August 1999. He served as department chair from 2012 to 2021. He has graduated over 25 advised/co-advised Ph.D. students.

Awards and honors Skadron received the SRC/SIA University Research Award in 2023 for lifetime research contributions to the U.S. semiconductor industry and the ACM SIGARCH Maurice Wilkes Award in 2011 for outstanding contributions to thermal-aware computer architecture modeling and design, and was named Fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2013 for contributions to thermal modeling in microprocessors, and ACM Fellow for contributions in power- and thermal-aware modeling, design and benchmarking of microprocessors, including GPUs. He was also elected to the Virginia Academy of Science, Engineering, and Medicine in 2025.

References

External links Kevin Skadron publications indexed by Google Scholar

Worked examples

Example 1 — a first encounter with Kevin Skadron

Start with the simplest possible case. Write down what Kevin Skadron claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In astronomy, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Kevin Skadron before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Kevin Skadron ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Kevin Skadron

In research: Kevin Skadron appears in astronomy research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Kevin Skadron in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Kevin Skadron is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1970s births, American computer scientist stubs, American computer scientists, so understanding it makes those chapters shorter.
In everyday life: Look for Kevin Skadron outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Kevin Skadron in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Kevin Skadron means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Kevin Skadron out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Kevin Skadron in simple terms?

Why does Kevin Skadron matter?

Because it connects several astronomy ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Kevin Skadron?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Kevin Skadron.