High Performance Computing
Unlocking Next-Gen Astrophysical Simulations
This research explores the application of RISC-V accelerators to demanding N-body simulations, demonstrating significant performance and energy efficiency gains.
Executive Impact
Our analysis reveals that the Tenstorrent Wormhole n300 card delivers over 2x faster execution and 2x higher energy efficiency compared to optimized CPU implementations for N-body simulations. This paves the way for new possibilities in astrophysical research.
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Speedup vs. CPU
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Energy Savings
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Particles Simulated
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
RISC-V's open-standard nature and modularity offer unprecedented customization for HPC, enabling highly efficient compute platforms tailored for specific scientific workloads. Its growth is fueled by 64-bit processors, vector extensions, and specialized AI accelerators.
Direct N-body simulations are crucial for accurately modeling dense stellar systems and compact object binaries. These computationally intensive tasks benefit greatly from acceleration, especially with the upcoming era of gravitational wave observations.
The Wormhole n300 card, originally designed for AI/ML, proves highly effective for scientific computing. Its architecture decouples computation from data movement, offering high performance and energy efficiency at a modest cost, leveraging Tensix cores and RISC-V control processors.
2.23x
Average Speedup
Gravitational N-Body Simulation Workflow
Particle Data Load (DRAM)
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Data Tiling (CBs)
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Force & Jerk Calculation (SFPU)
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Result Transfer (DRAM)
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Astrophysical Insights with Wormhole
Company: SISSA Astrophysics Department
Problem: Traditional CPU-based N-body simulations were bottlenecked by compute intensity, limiting the scale and complexity of systems that could be modeled for gravitational wave research.
Solution: Implemented the N-body code on the Tenstorrent Wormhole, leveraging its RISC-V Tensix cores and specialized FP32 units for force calculations.
Result: Achieved over 2x speedup and significant energy savings, enabling simulations of larger particle counts and more complex astrophysical phenomena, accelerating research into compact object binaries.
Advanced ROI Calculator
Estimate your potential gains by integrating RISC-V acceleration into your HPC workflows.
Estimated Annual Savings
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Productive Hours Reclaimed Annually
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Implementation Roadmap
Our phased approach ensures a seamless transition and maximum impact for your RISC-V accelerated HPC infrastructure.
Phase 1: Discovery & Strategy
Initial consultation to understand your current HPC setup, identify key workloads, and define success metrics. Develop a tailored strategy for RISC-V accelerator integration.
Phase 2: PoC & Benchmarking
Port a representative N-body workload to the Tenstorrent Wormhole, conduct comprehensive benchmarking against existing systems, and validate performance and energy efficiency gains.
Phase 3: Full Integration & Optimization
Scale the solution to your full production environment, including multi-accelerator MPI and advanced code optimizations for maximum throughput and efficiency.
Phase 4: Training & Support
Provide extensive training for your team on RISC-V programming and Tenstorrent TT-Metalium, ensuring long-term operational success and ongoing technical support.
Ready to Accelerate Your Research?
Schedule a free strategy session with our HPC experts to discover how RISC-V accelerators can revolutionize your scientific computing.
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