Tuesday, September 8, 2026

SF Regional INFORMS Conference on October 2, 2026

I'll be presenting, "Titan Transients, Inter-Corpora Correlations, and LLM Scalability," at the SF Regional INFORMS Conference on October 2, 2026 at San Jose State University. The talk is based on my recent ACM Queue publication.

Early Bird Registration is still open.

INFORMS is the acronym for the Institute for Operations Research and the Management Sciences. Many computer system performance analysis concepts, e g., queueing models, OS scheduling, and capacity forecasting, fall under the formal subject of Operations Research: a strange name that has its roots in WW-2 logistics planning.

Thursday, May 8, 2025

How to Quantify Scalability

How to Quantify Scalability: Synopsis of The Universal Scalability Law (USL), has just been posted in PDF format for improved readability. I did this post haste so, reporting any typos, broken links, etc., is always appreciated.

Tuesday, May 6, 2025

Performance Ponderings Updated

Just updated my "Performance Ponderings" page. It covers my performance analysis papers published over the past 35 yrs. 😳 You may be thinking: Who cares about performance analysis cases that is that dated?

Amazingly, performance analysis (done right) is often not technology-dependent, per se. The right abstraction can remain invariant into perpetuity. For example, my 2025 analysis of the GPT Efficient Computer Frontier (ref. 8 in paper 1) is based partly on my 1989 analysis of virtual memory thrashing in paper 53. Same paradigm; vastly different context.

The connection between the two papers is by no means obvious but, quite striking (not to mention satisfying) when you realize it.

Saturday, April 26, 2025

Solving a Functional Equation with Functional Programming

Functional equation question seen on Twitter:
This is my general solution, computed in Mathematica: a functional programming language. Scroll through the PDF for details.

Tuesday, July 23, 2024

Resolving the Dirac-Sommerfeld Paradox via the Path to Quantum Computers

Upcoming online presentation.

This topic goes back to my M.Sc. thesis, when my supervisor, Prof. Christie Eliezer (2nd from left in the photo), who was one of Dirac's very few research students, told me about the Dirac-Sommerfeld paradox. He thought it might be pertinent to my thesis.

Being a physics "genius", I didn't pursue it because I assumed it had been resolved by more modern developments like, Quantum Field Theory — a subject that neither Eliezer nor I knew much about. I was wrong. Very wrong!