BREAKING: ArrayFire is now open source. arrayfire.com/arrayfire-is-n…

QF Foundation's first paper explores GPU acceleration for primitive operations in Substrate-based blockchains, marking the completion of phase 1 for team 2's roadmap. Key findings: -Implemented GPU acceleration using WebAssembly and arrayfire-rust -Achieved 2-3x speedup for basic arithmetic on large datasets (1M float operations) -GPU: 0.38-0.50ms vs CPU: 1.15-1.85ms average execution time This research lays groundwork for GPU-accelerated smart contract execution and introduces potential for dynamic CPU/GPU operation balancing. It aligns with our broader goal of revolutionizing blockchain performance through advanced parallel processing. Next steps include exploring more complex GPU-accelerated operations. Our work with PolkaVM promises even greater efficiency gains beyond WASM. Want to explore the code or dive deeper? Read the full study: qf.foundation/Running_primit… Run the code yourself: github.com/QuantumFusion-Fou… See what was implemented: github.com/paritytech/polkad…

If GPU programming was easier — what would you hack on them? Share even if half-baked ideas.

We are thrilled to announce the launch of the UXL Foundation, a cross-industry group committed to delivering an open standard accelerator programming model that simplifies development of performant, cross-platform applications. Announcement: hubs.la/Q022FpF30 #uxl #oneapi

With big data comes big resource usage. Natan Biesmans & G²CPU bring high-performance computing directly to your #LabVIEW environment and GPU or CPU. Learn all about the parallel might of @arrayfire, #CUDA and #OpenCL at #GDevCon next month in Glasgow! bit.ly/GDev4Tickets