This week, we showcased groundbreaking advancements across in-network AI, GPGPU virtualization, edge storage, and post-quantum cryptography (PQC): 🔹 In-Network AI: Distilled DNNs into P4 switches using cascaded LUTs, achieving 93% F1-score for DDoS detection and 96% less memory usage—enabling wirespeed…
In GPGPU remoting, TCP/IP introduces latency and overhead. Our RDMA communicator for GVirtuS eliminates system calls, cutting Matrix Multiplication time by 5.5x and context switches by 98%. The winner? RDMA. 🌟 Follow us on LinkedIn! Check the updates from…
RDMA’s memory registration can kill performance—unless you pre-register buffers. Our GVirtuS RDMA communicator does exactly that, slashing context switches by 98% and boosting GPGPU virtualization speed by up to 55%. 🌟 Follow us on LinkedIn! Check the updates from…
Virtualizing GPUs over TCP/IP introduces latency and context switches. Our RDMA communicator for GVirtuS cuts Matrix Multiplication time by 5.5x and SAXPY by 82%, proving Infiniband is the future of low-latency GPGPU remoting. 🌟 Follow us on LinkedIn! Check…
This week, we advanced 6G MIMO innovation and GPGPU virtualization, proving that smarter networks and faster computing are within reach. Here’s what stood out: 📡 6G MIMO Breakthroughs 💻 GPGPU Virtualization Revolution 🌍 Join the Revolution Explore our research and…
Swapping TCP/IP for RDMA in GVirtuS didn’t just improve speed—it transformed GPGPU remoting. With Mellanox Infiniband, we slashed SAXPY execution time by 82% and Matrix Multiplication by 55%. The secret? Eliminating system calls and leveraging pre-registered memory. 🌟 Follow us…
Hardware virtualization in HPC and cloud computing demands low-latency, high-throughput communication. Our research introduces an RDMA-based communicator for GVirtuS, achieving 35% performance boost over TCP on Infiniband and 55% on Ethernet. Discover how RDMA eliminates context switches, enabling faster, more…
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 ⚡🧠 Traditional TCP/IP-based GPU virtualization…
