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  • ANSYS MECHANICAL

Your Solve Times Are Growing Faster Than Your Hardware Budget. Here's the Fix.

A practical guide to hybrid CPU+GPU acceleration and distributed solving in Ansys Mechanical — so your team stops waiting overnight for results that should take hours.
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Full HPC configuration workflow
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Solve Time vs. Core Count 4.2x FASTER
Ideal linear scaling CPU-only Hybrid CPU+GPU
  • The Problem

Why "just add more cores" keeps disappointing your team

Most simulation slowdowns aren’t a hardware budget problem — they’re a compute configuration problem that more cores alone can’t fix.

Diminishing returns on cores

Every solve has a non-parallelizable portion. Past a certain core count, added hardware stops translating into faster solves.

One iteration a day,
not five

Overnight and weekend solves aren't a scheduling inconvenience — they cap how many design options your team can actually explore before a deadline.

GPU acceleration,
unused

Eligible solver operations often run entirely on CPU by default, leaving a significant, already-paid-for performance gain sitting on the table.

  • The Fix

A repeatable HPC configuration workflow for Ansys Mechanical

The white paper walks through all 8 steps in detail. Here’s the shape of the process:
Profile the Model
DOF count, nonlinearity, memory footprint
Right-Size Cores
Scaling study finds the sweet spot
Enable GPU Offload
For eligible solver operations
Align Licensing
Match HPC licenses to hardware
Validate & Standardize
Lock in a reusable solver profile
  • What's Inside

11 sections, written for engineers who need to act on it Monday morning

No fluff, no vague promises — just the methodology, the metrics, and a worked example.

Executive Summary

The business case in three numbers

Why HPC Matters

Compute demand outpacing hardware refresh

Where Compute Hits Its Limits

Six real bottlenecks, named

CPU vs. GPU Acceleration

What each actually does in Ansys Mechanical

Distributed Processing Fundamentals

Domain decomposition & Amdahl's Law

Configuration Workflow

The full 8-step HPC setup process

Case Example

A 14-hour solve cut to under 4

Common Pitfalls

What quietly wastes HPC investment

ROI & Cost Savings

Building the internal business case

Getting Started

How Corengg scopes an implementation

About Corengg

Our Ansys practice in South India

2–4x

Typical solve-time reduction achievable with hybrid CPU+GPU acceleration on eligible solvers

30–50%

Share of engineering wait-time often reclaimable through HPC and licensing right-sizing

12–18 mo

Typical payback window for a right-sized HPC hardware investment

Illustrative industry ranges cited for context in the white paper; actual outcomes vary by model type, solver, and hardware configuration.

  • Illustrative Case

Cutting a 14-hour nonlinear contact solve to under 4

A large multi-part assembly routinely takes over 14 hours to solve on a single CPU-only workstation — capping the team at one design iteration per day. Profiling reveals the run was configured on just 4 cores, far below the model's actual sweet spot.

After right-sizing cores, adding RAM to keep the model in-core, enabling GPU acceleration, and aligning HPC licensing, the same solve completes in under 4 hours — validated against the original baseline for accuracy.
1 core
14h
4 cores
9h
16 cores
4.8h
16 + GPU
3.8h
Illustrative solve time by configuration — right-sizing cores and adding GPU offload compound
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Fill in your details once and the PDF unlocks immediately — complete with a table of contents, the CPU/GPU acceleration breakdown, and the full HPC configuration workflow.
  • 11-section PDF white paper with a full table of contents
  • The 8-step Ansys Mechanical HPC configuration workflow
  • Illustrative large-assembly solve-time case study
  • An ROI framework you can take to engineering leadership

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