February 2026 (KULeuven-MICAS/snax-mlir) — Delivered two major features and one bug fix in the MLIR-based workflow. Key features: 1) ChooseOp operation handling improvements with block_args and IsolatedFromAbove isolation to improve modularity and clarity (commit 0edaccb201585bd176a6bace03dad02abf55beb3); 2) Floating-Point to Integer conversion pass in hardware emission, with refactoring to remove unnecessary option switches and accompanying tests (commit a5fac32d215783dfcf117468b44b43de83aed963). Major bug fix: corrected float conversion in the hardware emission path (commit #597). Impact: more robust and maintainable emission pipeline, reduced risk in hardware integration, and expanded test coverage.

January 2026: Delivered core enhancements to the Programmable Hardware Synthesis (PHS) in snax-mlir, including a dedicated compiler driver, accelerator integration, improved dispatching, switchless design optimizations, MLIR fusion improvements, and updated docs. Added array support aligned with the SNAX ALU, with tests and export/template rules updates, and introduced an end-to-end workflow (new snakefile) to run examples from generated hardware. These changes streamline hardware-to-software integration, reduce manual steps, and improve performance and reliability.

December 2025: Focused on delivering a scalable MLIR-to-hardware pipeline in KULeuven-MICAS/snax-mlir, establishing hardware generation pathways for PHs and a Verilog export flow for MLIR kernels. Implemented architectural refactors to improve maintainability and set the foundation for end-to-end hardware synthesis with CI-tested integration and updated dependencies.

Month: 2025-11. Focused on delivering a new dialect transformation capability that enables translation of arithmetic operations within Linalg generics into the PHS dialect, improving cross-dialect interoperability and laying groundwork for future optimizations in the MLIR-based toolchain. The work enhances the codegen pipeline by enabling early PHS representation and smoother integration with downstream tooling. No major bugs fixed this period; feature is ready for QA validation and code review. Overall impact includes clearer dialect boundaries, improved maintainability, and a path for extended Linalg-to-PHS transformations.

Month 2025-10 highlights: Delivered a new Programmable Hardware Synthesis Dialect in KULeuven-MICAS/snax-mlir to model and orchestrate hardware processing elements within the IR. The dialect introduces PEOp, ChooseOp, and MuxOp to support flexible operation selection and execution in hardware designs, enabling faster prototyping and more expressive hardware synthesis pipelines. The work is anchored by commit 58f9fb76e0eeae88c84d04f2cc4f1ff2cb43f525, 'Add programmable hardware synthesis dialect (#562)'. This feature reduces iteration time for hardware exploration, improves IR clarity for back-end tooling, and sets the foundation for further optimizations and domain-specific tooling. Technologies used include MLIR dialect design, IR construction, and operation definition tooling. The impact includes business value through accelerated hardware design iteration, improved maintainability of the SNAX-MLIR backend, and a scalable path for future hardware-centric enhancements.

Monthly work summary for 2025-04 focusing on feature delivery and technical improvements in xdsl. Delivered two key features with accompanying tests and dialect updates, expanding capabilities of the linalg and arithmetic dialects. No explicit major bugs fixed in the provided data; tests and commit-level traceability enhanced stability and maintainability.

March 2025 focused on reinforcing robustness in the KULeuven-MICAS/snax_cluster repository by adding fatal error handling for illegal instructions during simulation. The new fail-fast mechanism terminates simulations immediately when an illegal instruction is detected, preventing invalid states and reducing debugging time. Implemented in the commit referenced as 'Fatality (#460)' (fcf4560eb47da940e38b11b41a35edef139d2e08). This work enhances reliability for long-running simulations and protects downstream results from corrupted intermediate states. Overall, this single high-impact fix improves system integrity under erroneous inputs, contributing to safer, more predictable simulation runs and faster issue isolation for future maintenance.

February 2025: Delivered a more reliable benchmarking workflow for KULeuven-MICAS/snax-mlir, enabling manual benchmark triggering, and implemented stability and accuracy improvements across Makefile references, accelerator tracing, and the benchmark registry. These changes reduce test flakiness, accelerate iteration cycles, and improve decision-making with trustworthy performance data.

Monthly summary for 2025-01: This period delivered substantial architectural enhancements and packaging improvements across the snax_cluster and snax-mlir repositories, with clear business value through more robust build pipelines, streamlined distribution, and improved execution efficiency. Key outcomes include enabling Pixi-based builds outside containers, formalizing a stable Conda packaging strategy, and enabling parallel simulation workflows. The work reduces onboarding time for new deployments, speeds up release cycles, and improves runtime performance and modularity. Overall impact: - Reduced build friction and faster integration cycles for end-to-end deployment. - Better distribution and maintenance via Conda packaging overhaul and multi-package strategy. - Enhanced runtime efficiency and scalability through parallelization and lazy loading. Technologies/skills demonstrated: - Pixi toolchain integration and non-container build workflows. - Conda packaging design, recipe generation, and package splitting. - Pyright type-safety hardening and explicit typing. - Snax rules-based workflow for parallel experiments and trace-enabled outputs. - Lazy loading strategies for dialects and passes in the MLIR-based pipeline.

December 2024 monthly performance snapshot focusing on business value and technical achievement across two repositories. Key outcomes include (1) Snax-Cluster packaging and distribution: established an experimental conda packaging workflow with a conda package, GitHub Actions CI to build the package, plus a build script and recipe to streamline distribution and installation. This reduces time-to-value for users and simplifies deployment in managed environments. (2) Snax-MLIR kernel build system modernization: replaced Makefiles with a Snakemake-driven pipeline, adding multiple kernels (alloc, transform-copy, simple_copy, gemm, rescale, streamer_alu, streamer_matmul, tiled_add), with CI updates and Python 3.12 compatibility to strengthen automation, reproducibility, and developer velocity. (3) Benchmark automation reliability: standardized benchmark data output naming in gendata scripts to ensure consistent outputs, improving automation and reducing downstream confusion. (4) Dev workflow enhancements: broad Snakemake integration and tooling updates improved CI/CD, Python tooling, and dev experience across projects. Overall impact includes faster installability, more robust and scalable build pipelines, reproducible benchmarks, and elevated team productivity. Technologies and skills demonstrated include Conda packaging, GitHub Actions, Snakemake, kernel development, Python 3.12 compatibility, CI/CD automation, and reproducible benchmarking.

November 2024 monthly summary for KULeuven-MICAS/snax_cluster: Delivered Verilog Simulation Tracing CLI Options and integrated tracing controls across hardware description and test harness. This enables flexible simulation output management, improves debugging, reproducibility, and performance analysis.