April 2026 (2026-04) performance summary for tenstorrent/tt-mlir focused on distributed data movement enhancements and profiling reliability in mesh workloads. Delivered all-gather CCL support in the d2m dialect via fabric multicast, and improved profiling consistency across mesh workloads in the Metal runtime. Major improvements in distributed synchronization semantics, fabric configuration management, and test coverage, driving better multi-device scalability and observable profiling accuracy.

Month: 2026-03 — This period focused on delivering high-value features across the TT-MLIR stack, with an emphasis on cross-device synchronization, tensor memory layout optimization, and robust grid mappings for TTCore. The work improves scalability, performance, and correctness for multi-device workloads and grid-based scheduling, while maintaining CI hygiene and clear follow-ups for any test gaps.

February 2026 performance summary focusing on key features and reliability: Delivered multicast routing support across 1D/2D fabric topologies, introduced cross-device global synchronization semaphores, and reinforced test coverage for critical configurations. These efforts enable scalable fabric communication, safer cross-device coordination, and reduced regression risk, delivering business value through higher throughput, lower latency, and improved system reliability.

January 2026 monthly summary focusing on delivering fabric-based inter-device communication capabilities in the TTKernel and laying groundwork for scalable data transfer across multi-core devices. Key work centered on integrating Fabric API support and unicast write paths into the TTKernel, with related runtime changes to enable core-to-fabric-router connectivity. This work directly supports higher-throughput, lower-latency data transfers for ML workloads and sets the stage for broader fabric-enabled deployments.

Month: 2025-12 — Summary of work on tenstorrent/tt-mlir focusing on CI efficiency and BH coordinate translation improvements, with explicit commits and testing coverage that underpin reliable performance feedback and accuracy in coordinate handling.

2025-11 monthly summary highlighting two primary workstreams within tenstorrent/tt-mlir: feature development for tile-based activation ops and TTNN JIT testing enhancements with mesh tensors and CI llmbox support. The work emphasizes delivering business value through expanded model activation capabilities, robust MLIR integration, and strengthened validation pipelines.

In 2025-09, delivered two key features in tenstorrent/tt-metal that enhance observability and performance for NoC fabric events and collective communications. NoC Fabric Event Profiling introduces a dedicated NoC type for router-to-local transfers, with updates to coordinate translation functions and event metadata to enable accurate profiling and improved multicast/scatter visibility. Collective Communications Library Tests received enhanced tracing/profiling, improving performance analysis and debugging of distributed collectives. Together, these changes unlock actionable insights, reduce debugging time, and lay groundwork for targeted optimizations in fabric-based workloads.