Compute is the new infrastructure of civilization
Our future depends on compute
TALPs apply everywhere compute runs
TALPs improve throughput and predictability — slashing power consumption while accelerating the speed of execution.
In lab tests, TALPs have reduced energy consumption by as much as 91%.
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TALPs Optimize Software for the Environment It Runs In
Software doesn't run in a vacuum. It runs on real hardware, with real constraints. TALPs optimize execution for the environment the software is operating in — whether for execution speed, reducing energy consumption, or both.
Everyone's Focused on
Making Hardware Faster.
Few Have Focused on
Optimizing How Software
Actually Runs.
For decades, the industry has focused on: Smaller transistors, Higher clock speeds, More cores, Faster interconnects
But software execution itself — the way processors step through machine code — has remained fundamentally unmanaged.
Processors execute instructions.
They do not understand execution pathways.
That's the missing layer.
Compute has expanded. Optimization has not.
Five fundamentals principals that make TALPs a foundation for modern compute - across architectures, industries, and power envelopes.
Ubiquitous by Design
TALPs apply everywhere compute runs.
From Cloud to Edge. From Watts to Milliwatts.
Compute is expanding across every layer of modern systems. Cloud infrastructure, industrial equipment, field systems, and personal devices all rely on software execution.
- Hyperscale + enterprise workloads
- Industrial plants + real-time systems
- Field equipment + rugged edge compute
- Personal devices + local execution
Cross-Industry Impact
Any domain. Same advantage.
Every vertical is becoming computational.
As software becomes the control plane for the physical world, performance and efficiency become strategic—across mission-critical and specialized systems.
- Defense + national security systems
- Enterprise + infrastructure software
- Biotech + genomics + scientific computing
- AI + IoT + robotics + edge networks
No New Hardware
No silicon redesign required.
Optimize software. Not silicon.
TALPs improve execution on your target architecture—without a chip redesign, fabrication cycle, manufacturing ramp, or ecosystem migration.
- No new hardware development cycle
- No new manufacturing or supply chain risk
- No platform fragmentation for users
- Ship improvements as software updates
Beyond Parallelization
More than parallelism.
Whole-program optimization: serial + parallel.
TALPs don’t just “add threads.” They optimize the serial path and extract safe parallel execution where it exists—improving throughput and predictability.
- Optimize serial bottlenecks
- Extract safe parallel execution pathways
- Control synchronization only where necessary
- Improve predictability and utilization
Automatic TALPification
Adoption without retraining.
No parallel programming required.
Teams shouldn’t have to rewrite systems around new models or train on niche frameworks. TALPification is automatic—software stays software.
- No kernel rewrites or framework lock-in
- No training teams on new parallel models
- Works with existing code structure
- Clear, auditable transformations
Serial code vs TALPified execution.
The “after” version is not about rewriting everything—it’s about declaring the pathway and constraints. The runtime finds safe parallelism automatically.
▍▍Pseudo-code for clarity. Actual integration details depend on workload and environment.
Compute is Power
Compute needs Power
Expansive • Inevitable • Ubiquitous
Everything runs on software —
software runs on compute.
We optimize compute at the machine level.
TALPS: TIME-AFFECTED LINEAR PATHWAYS
Data centers use more power than whole cities: