June 2026 was a cross-repo delivery cycle focused on platform stabilization, performance improvements, and feature-rich traces for Akita-powered Mgpusim and Daisen. Major work centered on Akita v5.x porting, Daisen Bot and Daisen2 UX and tooling, expanded tracing and memory subsystem instrumentation, and MI300A/X calibration workflows with dashboards. The month also included CI reliability enhancements to sustain longer-running benchmarks and large-scale traces. Key outcomes include: steady progress toward Akita v5 integration with full directory/indexing capacity (set-index hashing fixes), multi-phase Daisen Bot capabilities (planning, tooling, front-end integration, and inline evidence), a scalable component-scoped view in Daisen2 with topology and location drill-down, richer tracing with buffer-task conventions and milestone coverage, and robust MI300A/X calibration pipelines with live dashboards and CI-ready ground-truth data.

May 2026 monthly summary for sarchlab/akita highlighting key architectural improvements, testing framework refinements, and measurable impact on maintainability and delivery velocity. Focused on delivering business value through modular architecture, clearer separation of concerns, and a streamlined test ecosystem to reduce defects and accelerate future work.

March 2026 monthly summary for sarchlab/mgpusim focusing on business value and technical achievements. Delivered data-driven performance measurement capabilities for MI300A, expanded multi-architecture GPU simulation support, and improved simulation stability and benchmarking accuracy. Demonstrated cross-architecture readiness and improved CI coverage to support faster decision-making and hardware evaluation.

January 2026: Delivered architectural extensions and tooling upgrades to MGPU-Sim, enabling production-grade HSACO v5 execution across GFX and CDNA paths, plus unified multi-GPU testing for MI300A. The month focused on maintainability, backward compatibility, and performance verification across architectures with robust vector operations and disassembler/ELF improvements.

Month 2025-12: Delivered Simulation Runner Performance Improvements in sarchlab/mgpusim by upgrading Akita to v4.9.0 and removing unused tracing configuration. This simplifies the codebase, reduces potential runtime overhead, and improves maintainability. No major bugs fixed this month; focus was on stability and groundwork for future performance optimizations. Relevant commit: a234fbbf346c28dba40ec253ba76f050d65f01da (Update Akita to v4.9.0 and remove unused tracing configuration).

Month 2025-11 - Performance Review Summary for sarchlab/akita Delivered a configurable banked memory controller to improve simulation bandwidth and latency control. Implemented its first version with a simplified code path, a testable example, and accompanying documentation. Performed targeted code quality work through linting fixes and added latency tests to validate behavior. No major user-visible bugs fixed this month; the focus was on architecture, stability, and maintainability to enable rapid experimentation with memory subsystem configurations. Impact: Enables researchers to model more realistic memory subsystems, accelerates exploratory studies, and improves model reliability and reproducibility for performance analyses. Notes: Work is traceable to commit 17954285b09e64207712a97f40966984eafd55e2 ("Simple Banked Memory (#348)\n\n* First implementation\n* Simplify code\n* do not allow change of post pipeline buffer size\n* Testable example\n* readme\n* Fix linting\n* Fix PR review comments\n* test latency\n* update readme").

September 2025 monthly summary focusing on delivering value through modular component architecture, CLI tooling, and core dependency upgrades across the sarchlab/akita and sarchlab/mgpusim repositories. Key outcomes include the new IdealMemControllerV5 and Akita CLI v5 tooling for faster component iteration, plus a major upgrade to Akita v4.7.0 in mgpusim with accompanying CI improvements. These efforts improve testability, maintainability, and readiness for future migrations, delivering measurable business value in reduced maintenance cost, faster feature delivery, and more reliable builds.

July 2025: Strengthened CI stability, refreshed dependencies, and resolved critical TLB stability issues across mgpusim and akita. Delivered deterministic linting, safer dependency upgrades, and stable, faster TL B translation paths, enabling more reliable performance and release confidence.

June 2025 delivered targeted, business-value-driven improvements across sarchlab/akita and sarchlab/mgpusim, focusing on usability, observability, and reliability. Key achievements include the introduction of a Milestone API for task tracing, a new Wiring package for one-cycle latency message passing, and enhanced documentation discoverability in Akita, alongside impactful observability and data-reporting improvements in Mgpusim. These changes improve telemetry accuracy, debugging capabilities, and developer onboarding, accelerating performance-oriented research and feature delivery.

May 2025 focused on observability, modular configuration, data accessibility, and stability across the GPU simulation stack (sarchlab/mgpusim and sarchlab/akita). The work delivers business value through improved diagnostics, faster feature delivery, and more reliable releases via architectural modernization and robust data handling.

March 2025 monthly summary for sarchlab/mgpusim and sarchlab/akita focusing on business value, technical reliability, and performance improvements across workloads. Key enablement: performance analysis and reliability fixes for GPU sim, interface and data model enhancements in Akita, and build stability through toolchain updates.

February 2025 performance summary for sarchlab/akita: Delivered three core advancements that improve developer experience, code quality, and simulation capabilities. The Local Development Environment Setup for the Monitoring Web App adds a Vite config with an API proxy, accelerating local UI development and testing by eliminating cross-service integration friction. Code Quality and Test Stability Improvements address lint issues, remove an unnecessary linter rule, and relocate a test-scoped sampleMsg into the test file, enhancing compile stability and long-term maintainability. A Cell Splitting Simulation Example introduces a time-driven demonstration of cell division via a splitEvent and a scheduling handler, enabling more realistic validation scenarios in the simulation framework. These changes yield faster iteration cycles, more reliable tests, and a richer, more demonstrable simulation model, delivering tangible business value across development, QA, and stakeholder demonstrations.

December 2024 monthly summary for sarchlab/akita focusing on business value through architecture and reliability improvements. Delivered two major feature refactors that enhance modularity, address mapping, and type safety across the simulation subsystem, with accompanying CI/testing improvements to ensure code quality and maintainability.