Psi Lambda LLC | Parallel computing made practical.

About

Psi Lambda LLC provides the software to enable full utilization of the current and future parallel processing of CPUs and GPUs. Psi Lambda LLC utilizes decades of experience in practical application of software and also of unique research into fundamental principles. To be practical, such software must work well with existing tools, data, and techniques. To scale well for problems in the future, such software must be based on rigorous, underlying, fundamental principles.
A new generation of parallel processing software is necessary for handling such problems as large scale data analysis and the ever more detailed control of our material world and resources. Psi Lambda LLC will lead the way in applying parallel computation to our material world and resources.

Psi Lambda LLC previous portfolio

Early adopter and driver of standards

By engaging the community, I helped ensure that the standard that was implemented had the features needed.

Bioinformatics: next generation sequencing

I was the lead developer for bioinformatics and technology development and analysis using the Illumina and 454 next generation sequencing for medical sequencing of the first whole cancer genome.

An understanding of the usefulness of open source.

I have an understanding of the history and role of open source that pre-dates the name “open source”. I contributed to the original 386BSD/NetBSD until I switched to Linux 1.0.

Biochemical expert system

I did the analysis, design, and development of a chemical compound modeling expert system.

In-depth knowledge and history of Perl

I was an early adopter and promoter of using Perl for bioinformatics. I have used Perl from version 4 up through the current version.

Strong mathematics and physics background

Psi Lambda LLC utilizes decades of experience in practical application of software and also of unique research into fundamental principles. To be practical, such software must work well with existing tools, data, and techniques. To scale well for problems in the future, such software must be based on rigorous, underlying, fundamental principles.

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