Compute is Everywhere.

We Make Compute Faster. We Slash Data Center Energy Usage.

Making Compute Faster. Slashing Data Center Energy Usage.

Compute is the foundation of digital technology, powering civilization as we know it..
Our tools change the fundamental way we compute, by automatically converting regular code into highly efficient parallel code, ushering in the future of artificial intelligence, automation, robotics, smart cities, self-driving cars and more. Much more!

MPT’s Proprietary Parallelization Technology Slashes the Power Consumption of Data Centers and the Cloud

Data centers haven’t gone nuclear yet, but AI is quickly driving them there.

Proprietary Automatic Software Decomposition

Identify and parallelize “hotspots” in code.

Optimizing parallelization requires analysis of:

This analysis allows the optimized code to take full advantage of a system’s processing power and memory consumption.

Fine-tuning parallelized code results in Speed of Execution & Energy Efficiency

MPT’s parallelization dynamically allocates the number of cores and the memory required by each dataset as its input, resulting in the optimized balance between power consumption and parallel speedup.
Freedoms

What's the benefit of faster runtimes?

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Power
Enormous savings on energy consumption on modern data centers.
Speedup
Optimized Performance = Optimized Energy Usage
100% transparency and accountability
Refreshing clarity
Modern results

Introducing TALP

TALP (Time Affecting Linear Pathways)-based parallelization optimizes code at the atomic level for both the relevant architecture and data. It uses a proprietary form of functional decomposition to derive predictive analytics that determine the precise configuration necessary for code to run substantially faster at the machine level. Notably, the use of TALPs obviates the need for time-consuming loops to handle conditional statements, thereby slashing the space-time complexity and associated overhead of code. The result is code that runs much faster without the need for additional power, causing a substantial reduction in the power consumed per job.

Assessing the Impact of MPT’s Parallelization for your Cloud & Applications​

A step-by-step engagement process for benefiting from our technology.​
Step 1:
See a demo of MPT's TALP parallelization of typical algorithms and data sets showing power consumption being cut in half.
Step 2:
Work with MPT to develop a profile of the algorithms and data sets running on your data center or cloud.
Step 3:
MPT uses its proprietary TALP-based parallelization to prepare a customized parallelization for your data center.
Step 4:
Run the optimized code to measure your savings in power consumption on your data center.
Step 5:
Engage MPT to provide your team with the tools, licensing and skills to use TALPs to optimize all code that runs on your cloud.
Step 1:
See a demo of MPT's TALP parallelization of typical algorithms and data sets showing power consumption being cut in half.
Step 2:
Work with MPT to develop a profile of the algorithms and data sets running on your data center or cloud.
Step 3:
MPT uses its proprietary TALP-based parallelization to prepare a customized parallelization for your data center.
Step 4:
Run the optimized code to measure your savings in power consumption on your data center.
Step 5:
Engage MPT to provide your team with the tools, licensing and skills to use TALPs to optimize all code that runs on your cloud.

MPT's Team Wrote the Laws on Parallel Processing

A history of excellence in parallel processing. Patents Awarded: 35 Company's History in Parallel Processing: 25 years Numerous DARPA Engagements: MPT's technology used in top government data centers

Dr. Gene Amdahl

Father of the mainframe computer at IBM, founder of Amdahl Corporation, and formulated Amdahl’s Law, which defined the limits of parallel performance at the time.​ ​Former head of MPT’s Science Advisor Board​. In Memoriam.

Dr. John Gustafson

Formulated Gustafson’s Law, redefining the limits of parallel processing.​ Dr. Gustafson developed the world’s first working computer cluster, which ultimately became the foundation for cloud computing. Gordon Bell Award, Google Scholar,​ IEEE Golden Core Award.​ Dr. Gustafson advises on MPT’s patent portfolio.

Kevin Howard

Co-founder of MPT and creator of Howard’s Law, which radically redefined the limits of parallel processing.​ Inventor of MPT’s technology, TALP decomposition, power/performance optimization and dynamic automatic parallelization. Awarded over 40 Patents.

Jim Holt

Mr. Holt serves as the CEO for two of C Squared’s portfolio companies, MPT and Fathym. Mr. Holt is a veteran of the technology world. He was the CEO of RF-Works, where he helped bring wi-fi to the world and spun Aironet out to Cisco. Later, Mr Holt led Acero, where he provided the computational support that helped crack the human genome. Mr. Holt gained experience in marketing enterprise software as the CMO of Computer Associates, and understands server scalability based on his leadership at Secant. Mr. Holt began his career at IBM, where he specialized in corporate intelligence and competing in the parallel processing space.

Dr. John Gustafson

Formulated Gustafson’s Law, redefining the limits of parallel processing.​ Dr. Gustafson developed the world’s first working computer cluster, which ultimately became the foundation for cloud computing. Gordon Bell Award, Google Scholar,​ IEEE Golden Core Award.​ Dr. Gustafson advises on MPT’s patent portfolio.

Kevin Howard

Co-founder of MPT and creator of Howard’s Law, which radically redefined the limits of parallel processing.​ Inventor of MPT’s technology, TALP decomposition, power/performance optimization and dynamic automatic parallelization. Awarded over 40 Patents.
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A complete analytics platform.
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Pro

A complete analytics platform.
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Team features
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per project/month
Go Become pro
We Recommended

Enterprise

Flexible power and security
Everything in pro
Volume discount
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$ 800
Starting price, customizable
Everything is yours
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