Technical Term: SPIR-V

As we explored in our companion piece on CPU cache optimization, the Firefly compiler’s Alex component is being designed to perform sophisticated transformations that would align F# code with hardware memory hierarchies. When we consider GPU architectures, we encounter a fundamentally different memory landscape that would require equally different optimization strategies. While GPUs currently dominate parallel computing workloads, we view them as a necessary bridge to more efficient architectures. As discussed in “The Uncomfortable Truth of Comfortable Dysfunction”, the industry’s reliance on GPU architectures represents both a practical reality we must address and an architectural compromise we’re working to transcend.