TL;DR
It is argued that scale-up fabrics should become software-defined, as programmable switches did for Ethernet over the past decade, and that the switch is the natural place to begin.
A new class of highly scalable, effective, and resilient network-native services is made possible by Synapse, which removes the main storage bottleneck in contemporary data centers by offloading the entire telemetry capture process to the network fabric.
This study describes GPU-fabric contention in LLM workloads and presents GPUWeaver, a context-aware communication scheduler that monitors application progress and fabric state, identifies contention, and dynamically regulates communication injection according to application performance goals.
The advent of cloud-based artificial intelligence and the increased digitalization of embedded systems require powerful GPUs capable of simultaneously running kernels from different software providers. To accommodate the resource isolation and Execution Time Determinism (ETD) needed with the increasing number of kernel...
Cloud vendors push ambitious in-network processing (e.g., crypto, telemetry) onto the NIC to offload servers even as link rates climb to terabit speeds. Vendors have responded with heterogeneous SmartNICs. For example, NVIDIA BlueField-3 interposes---between the wire and the host CPUs---a line-rate eSwitch, a multithre...
NVIDIA's Grace Hopper (GH200) superchip represents a new generation of heterogeneous computing, tightly integrating a 72-core Arm-based CPU with a Hopper GPU on a single module via a high-bandwidth, cache-coherent interconnect. By eliminating the conventional PCIe bottleneck for CPU-GPU data movement, this design estab...
Wavel is presented, a fast and efficient compilation system for wafer-scale accelerators that introduces MeshIR to make executable schedules explicit, constructs them through two legal locality-preserving primitives, CUT and TUNE, and uses physical cost evaluation with structured pruning to keep search practical.
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