We’re excited to present a breakthrough from the CLEVER Project: a novel RDMA over InfiniBand Communicator that significantly accelerates GPGPU virtualization using GVirtuS — enabling smarter, faster, and more efficient AI workloads across remote GPUs ⚡🧠
🔍 Why this matters:
Traditional TCP/IP-based GPU virtualization is plagued by context switches and latency. With the new RDMA Communicator, we slash those overheads and enable up to 82% faster performance on real HPC systems.
🧪 Key Results:
✔️ 35–55% performance gain over TCP/IP
✔️ 10x fewer context switches = lower CPU load
✔️ Seamless integration into GVirtuS plug-in architecture
✔️ Tested on real CUDA workloads: Matrix Multiplication & SAXPY
💡 The RDMA-enhanced GVirtuS now delivers high-speed CUDA offloading with:
- Pre-registered memory regions 🧠
- Polling-based completions for low latency
- Real-time optimized buffer management
📊 Performance Snapshot:
Here’s how the RDMA Communicator stacks up in matrix multiplication across different communication methods 👇
(Lower = Better Execution Time)
🌐 Powered by the CLEVER Project: https://www.cleverproject.eu
Let’s push the boundaries of GPU sharing, AI acceleration, and edge-to-cloud orchestration — together.
Click for further adventure!
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