Scaling the memory wall using mixed-precision - HPG-MxP on an exascale machine
Revolutionizing HPC with Mixed-Precision AI
Addressing the computational bottlenecks in HPC, our analysis reveals how mixed-precision algorithms can unlock unprecedented performance and efficiency for scientific simulations, pushing the boundaries of exascale computing.
Executive Impact & Key Findings
Our analysis reveals a significant 1.6x speedup in mixed-precision GMRES-IR over double-precision GMRES on modern GPU-based supercomputers, translating to substantial efficiency gains for scientific simulations. This optimization tackles the memory wall challenge, offering a pathway to exascale performance previously unachievable with traditional methods.
0
Speedup Achieved
0
Full-System Performance
0
Efficiency Gain
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
1.6x
Observed Speedup with Double-Single Mixed-Precision
Our optimized implementation achieved a 1.6x speedup on GPU-based supercomputers, significantly outperforming previous benchmarks.
Enterprise Process Flow
Multicolor Gauss-Seidel
→
Fused SpMV-Restriction
→
Compute-Communication Overlap
→
Mixed-Precision Kernels
| Method | Description | Key Outcome |
|---|---|---|
| Standard Validation | Small subset of processes, 1 node, 10^-9 residual norm. |
|
| Full-Scale Validation | All available nodes, full problem size, max 10,000 iterations or 10^-9 norm. |
|
Full-System Frontier Deployment
Our solution was successfully deployed on the Frontier exascale system (9408 nodes, 75,264 GPUs), achieving a peak 17.23 PFLOPS. This demonstrates the practical viability of mixed-precision algorithms at unprecedented scales.
ELLPACK
Optimized Sparse Matrix Format
Utilizing ELLPACK format for sparse matrix operations significantly improves GPU warp utilization, crucial for memory-bandwidth limited kernels.
rocHPCG
Foundation for GPU Optimizations
Inspired by rocHPCG, our implementation leverages asynchronous operations and GPU streams for compute-communication overlap, enhancing efficiency.
Advanced ROI Calculator
Estimate the potential savings for your organization by integrating optimized mixed-precision algorithms into your HPC workflows.
Estimated Annual Savings
$0
Annual Hours Reclaimed
0
Your Journey to Exascale Efficiency
Our structured roadmap ensures a seamless transition to high-performance, mixed-precision computing, tailored to your organization's unique needs.
Discovery & Assessment
Identify critical workloads and current performance bottlenecks through in-depth analysis of your existing HPC infrastructure and applications.
Custom Algorithm Development
Tailor mixed-precision algorithms to your specific application requirements, leveraging cutting-edge research and optimization techniques for maximum impact.
Full-Scale HPC Integration
Deploy and optimize solutions across your exascale or large-scale HPC infrastructure, ensuring robust performance and scalability.
Continuous Optimization
Monitor performance, refine algorithms, and integrate future hardware advancements to maintain peak efficiency and stay ahead of the computational curve.
Ready to Transform Your HPC Performance?
Connect with our experts to explore how mixed-precision algorithms can unlock the full potential of your exascale initiatives and drive scientific breakthroughs.
Ready to Get Started?
Book Your Free Consultation.
Let's Discuss Your AI Strategy!
Lets Discuss Your Needs
Select a Date
Sun
Mon
Tue
Wed
Thu
Fri
Sat