
Soheil Qeshmi engineered advanced FPGA place-and-route infrastructure in the verilog-to-routing/vtr-verilog-to-routing repository, focusing on 3D routing, interposer modeling, and scatter-gather connectivity. He modernized core C++ data structures, refactored RR graph generation, and introduced robust channel width estimation and CHANZ support to improve routing accuracy and scalability. Leveraging C++20, Python scripting, and XML configuration, Soheil enhanced test reliability, documentation, and code maintainability. His work included bidirectional scatter-gather wiring, placement-frequency optimizations, and detailed logging, enabling faster design iterations and more accurate architectural modeling. The depth of his contributions accelerated onboarding, reduced regression risk, and improved overall design automation workflows.
April 2026: Key engineering deliverables in verilog-to-routing/vtr-verilog-to-routing include interposer configuration enhancements, robustness improvements for scatter-gather boundary handling, and substantive code quality efforts. These changes improve signal integrity management in the timing interposer, enhance reliability of SG boundary calculations across architectures, and elevate observability and maintainability of placement algorithms.
April 2026: Key engineering deliverables in verilog-to-routing/vtr-verilog-to-routing include interposer configuration enhancements, robustness improvements for scatter-gather boundary handling, and substantive code quality efforts. These changes improve signal integrity management in the timing interposer, enhance reliability of SG boundary calculations across architectures, and elevate observability and maintainability of placement algorithms.
February 2026 monthly summary highlighting key features delivered, major bugs fixed, overall impact, and technologies demonstrated. Focused on strengthening interposer modeling, expanding architecture capabilities, and improving test stability and documentation to accelerate design wins and reduce regression risk.
February 2026 monthly summary highlighting key features delivered, major bugs fixed, overall impact, and technologies demonstrated. Focused on strengthening interposer modeling, expanding architecture capabilities, and improving test stability and documentation to accelerate design wins and reduce regression risk.
January 2026 (2026-01) monthly summary for verilog-to-routing/vtr-verilog-to-routing. The month prioritized expanding 3D inter-die design capabilities, strengthening connectivity, and improving test fidelity. Key features delivered include the OPIN-CHANZ connectivity framework extension to support 3D inter-die architectures, the introduction of Bidirectional Scatter-Gather (SG) support, and 3D layout modeling enhancements. Placement-frequency driven optimizations were implemented to improve routing/placement efficiency under 3D constraints. Major fixes addressed interposer boundary handling and safety-tag safeguards to prevent miswirings. CI/test configurations and golden results were updated to reflect architecture changes, along with code formatting and documentation improvements to enhance maintainability.
January 2026 (2026-01) monthly summary for verilog-to-routing/vtr-verilog-to-routing. The month prioritized expanding 3D inter-die design capabilities, strengthening connectivity, and improving test fidelity. Key features delivered include the OPIN-CHANZ connectivity framework extension to support 3D inter-die architectures, the introduction of Bidirectional Scatter-Gather (SG) support, and 3D layout modeling enhancements. Placement-frequency driven optimizations were implemented to improve routing/placement efficiency under 3D constraints. Major fixes addressed interposer boundary handling and safety-tag safeguards to prevent miswirings. CI/test configurations and golden results were updated to reflect architecture changes, along with code formatting and documentation improvements to enhance maintainability.
Month 2025-12: Delivered targeted documentation and maintainability work for RR Graph in verilog-to-routing/vtr-verilog-to-routing. Delivered 9 commits focusing on RR graph documentation and comments, Doxygen comments, formatting, spelling fixes, and updated test metadata and golden results (basic_ap and basic_3d). No major functional bugs fixed; the work emphasizes quality, consistency, and readiness for upcoming features. Business value: improves code readability, reduces onboarding time, and stabilizes test expectations.
Month 2025-12: Delivered targeted documentation and maintainability work for RR Graph in verilog-to-routing/vtr-verilog-to-routing. Delivered 9 commits focusing on RR graph documentation and comments, Doxygen comments, formatting, spelling fixes, and updated test metadata and golden results (basic_ap and basic_3d). No major functional bugs fixed; the work emphasizes quality, consistency, and readiness for upcoming features. Business value: improves code readability, reduces onboarding time, and stabilizes test expectations.
Nov 2025 focused on strengthening routing connectivity, refactoring 3D routing graphs for SG support, and improving code quality in verilog-to-routing/vtr-verilog-to-routing. Key outcomes include cross-layer OPIN-CHANZ connectivity enhancements, a major 3D-to-SG graph refactor, expanded edge structures and documentation, new side-aware pin queries, and targeted code quality improvements that speed iteration and reduce regression risk. These changes deliver tangible business value through more robust routing decisions, faster routing metrics, and a cleaner, scalable codebase.
Nov 2025 focused on strengthening routing connectivity, refactoring 3D routing graphs for SG support, and improving code quality in verilog-to-routing/vtr-verilog-to-routing. Key outcomes include cross-layer OPIN-CHANZ connectivity enhancements, a major 3D-to-SG graph refactor, expanded edge structures and documentation, new side-aware pin queries, and targeted code quality improvements that speed iteration and reduce regression risk. These changes deliver tangible business value through more robust routing decisions, faster routing metrics, and a cleaner, scalable codebase.
2025-10 Monthly Summary for verilog-to-routing/vtr-verilog-to-routing. Key features delivered this month span refactors, data-structure improvements, architecture cleanups, and substantial rendering/device-grid enhancements, all aimed at boosting stability, performance, and developer productivity. Major architectural and feature work included refactoring the 3D RR graph, CHANZ initialization improvements, and channel width data propagation across RR components. These changes enable more accurate place-and-route results and better visualization for design-space exploration, while reducing maintenance burden. Highlights by area: - Core routing/architecture: Refactored 3D RR graph code into a dedicated file; CHANZ layer range initialization improvements; cost indexing based on segment types; data structure improvements for layer ranges and shadowing cleanup; architecture cleanup and spacing adjustments tied to channel width. - Channel width propagation: Extracted channel width computation to rr_graph.cpp, propagated widths into drawing, NetCostHandler, and occupancy reporting (3D); introduced rr_chanx/y_list to device context; renamed internal channels width references for clarity (rr_chan?_width -> rr_chan?_segment_width, rr_chany_list -> rr_chany_width). - API and code quality: const-correct tile width getters; avoid nullptr defaults for strings; formatting and documentation upgrades; noexcept and c_str handling improvements; extensive doxygen updates. - Rendering, device grid, and interposer work: drawing improvements (nodes rendered above edges), interposer rendering refinements (mid-channel cut lines, dashed/wider lines, edges drawing), NO_GRAPHICS guards to improve CI reliability, device grid compatibility enhancements, and interposer/SG pattern tooling (non-3D SG indices, links and conversions). - Testing, docs, and CI hygiene: updated seeds and golden results across figures; updated arch references/docs; CLI/config updates supporting --device; removal of unused headers and dead code; performance tweaks such as reserving vector capacity and avoiding repetitive computations. Impact: These changes improve routing stability and correctness, reduce build/test brittleness, and provide clearer data flows across the RR graph and visualization stack. The work positions the project to more efficiently validate design-space experiments (including interposers and SG patterns) and accelerates future feature delivery. Technologies/skills demonstrated: C++ modernization and refactoring; 3D RR graph design, CHANZ initialization and cost indexing; data-structure optimization; const-correct APIs; doxygen/documentation practices; performance-oriented coding; and graphics/CI-friendly engineering.
2025-10 Monthly Summary for verilog-to-routing/vtr-verilog-to-routing. Key features delivered this month span refactors, data-structure improvements, architecture cleanups, and substantial rendering/device-grid enhancements, all aimed at boosting stability, performance, and developer productivity. Major architectural and feature work included refactoring the 3D RR graph, CHANZ initialization improvements, and channel width data propagation across RR components. These changes enable more accurate place-and-route results and better visualization for design-space exploration, while reducing maintenance burden. Highlights by area: - Core routing/architecture: Refactored 3D RR graph code into a dedicated file; CHANZ layer range initialization improvements; cost indexing based on segment types; data structure improvements for layer ranges and shadowing cleanup; architecture cleanup and spacing adjustments tied to channel width. - Channel width propagation: Extracted channel width computation to rr_graph.cpp, propagated widths into drawing, NetCostHandler, and occupancy reporting (3D); introduced rr_chanx/y_list to device context; renamed internal channels width references for clarity (rr_chan?_width -> rr_chan?_segment_width, rr_chany_list -> rr_chany_width). - API and code quality: const-correct tile width getters; avoid nullptr defaults for strings; formatting and documentation upgrades; noexcept and c_str handling improvements; extensive doxygen updates. - Rendering, device grid, and interposer work: drawing improvements (nodes rendered above edges), interposer rendering refinements (mid-channel cut lines, dashed/wider lines, edges drawing), NO_GRAPHICS guards to improve CI reliability, device grid compatibility enhancements, and interposer/SG pattern tooling (non-3D SG indices, links and conversions). - Testing, docs, and CI hygiene: updated seeds and golden results across figures; updated arch references/docs; CLI/config updates supporting --device; removal of unused headers and dead code; performance tweaks such as reserving vector capacity and avoiding repetitive computations. Impact: These changes improve routing stability and correctness, reduce build/test brittleness, and provide clearer data flows across the RR graph and visualization stack. The work positions the project to more efficiently validate design-space experiments (including interposers and SG patterns) and accelerates future feature delivery. Technologies/skills demonstrated: C++ modernization and refactoring; 3D RR graph design, CHANZ initialization and cost indexing; data-structure optimization; const-correct APIs; doxygen/documentation practices; performance-oriented coding; and graphics/CI-friendly engineering.
September 2025 focused on stabilizing and expanding 3D scatter-gather capabilities, modernizing RR graph utilities, and cleaning up code quality. Key work includes delivering the All_locations feature with a new utility and refactored loops, building scaffolding and channel discovery for scatter/gather, and introducing physical location abstractions (get_root_location, t_physical_tile_loc) and related API improvements to simplify location handling. The effort also centralized utilities and data types across switch-box and scatter-gather code, enabling easier maintenance and faster feature delivery. Critical bugs were fixed, including returning size_t from get_num_layers, broad compilation warning elimination, and an offset handling bug. Additional reliability work addressed lookahead in 3D architectures and improved error handling and warnings for SG scenarios. Overall, these changes improve reliability, performance readiness for 3D SG paths, and developer productivity through better PR hygiene, documentation, and formatting.
September 2025 focused on stabilizing and expanding 3D scatter-gather capabilities, modernizing RR graph utilities, and cleaning up code quality. Key work includes delivering the All_locations feature with a new utility and refactored loops, building scaffolding and channel discovery for scatter/gather, and introducing physical location abstractions (get_root_location, t_physical_tile_loc) and related API improvements to simplify location handling. The effort also centralized utilities and data types across switch-box and scatter-gather code, enabling easier maintenance and faster feature delivery. Critical bugs were fixed, including returning size_t from get_num_layers, broad compilation warning elimination, and an offset handling bug. Additional reliability work addressed lookahead in 3D architectures and improved error handling and warnings for SG scenarios. Overall, these changes improve reliability, performance readiness for 3D SG paths, and developer productivity through better PR hygiene, documentation, and formatting.
Month: 2025-07. Delivered ChanZ routing integration and enhancements in verilog-to-routing/vtr-verilog-to-routing, including inter-cluster recognition, area estimation for CHANZ, adjacency checks for channel types, adjusted RR position calculations, extended boundary handling, and updated CHANZ node handling and documentation. Hardened RR graph verification with cross-layer consistency checks, node-count validation, CHANZ handling in checks, and updated tests/goldens to reflect changes (including strong/3d_sb and strong_clock_aliases_set_delay). Addressed edge-case timing concerns by avoiding division-by-zero when timing cost is zero. Improved test alignment and formatting to ensure deterministic results. Overall, these changes improve routing correctness, stability, and maintainability, reducing debugging time and enabling more accurate planning for large-scale designs.
Month: 2025-07. Delivered ChanZ routing integration and enhancements in verilog-to-routing/vtr-verilog-to-routing, including inter-cluster recognition, area estimation for CHANZ, adjacency checks for channel types, adjusted RR position calculations, extended boundary handling, and updated CHANZ node handling and documentation. Hardened RR graph verification with cross-layer consistency checks, node-count validation, CHANZ handling in checks, and updated tests/goldens to reflect changes (including strong/3d_sb and strong_clock_aliases_set_delay). Addressed edge-case timing concerns by avoiding division-by-zero when timing cost is zero. Improved test alignment and formatting to ensure deterministic results. Overall, these changes improve routing correctness, stability, and maintainability, reducing debugging time and enabling more accurate planning for large-scale designs.
June 2025 performance highlights for verilog-to-routing/vtr-verilog-to-routing. Delivered foundational process improvements, major architectural refinements, and CHANZ-enabled routing capabilities, with a focus on maintainability, reliability, and accuracy in routing cost estimation. Achievements span coding standards, token system overhaul, new routing utilities, and CHANZ integration across the RR graph lifecycle, alongside build reliability and diagnostics enhancements.
June 2025 performance highlights for verilog-to-routing/vtr-verilog-to-routing. Delivered foundational process improvements, major architectural refinements, and CHANZ-enabled routing capabilities, with a focus on maintainability, reliability, and accuracy in routing cost estimation. Achievements span coding standards, token system overhaul, new routing utilities, and CHANZ integration across the RR graph lifecycle, alongside build reliability and diagnostics enhancements.
May 2025 highlights for verilog-to-routing/vtr-verilog-to-routing: Delivery across routing cost estimation, lookahead modeling, and code quality improvements. The work focused on expanding the routing utilities API, improving congestion modeling (including map lookahead), integrating post-placement channel utility data into acc_cost with safe guards, and enabling CLI-based tuning of routing parameters. Substantial 3D routing support and channel width estimation groundwork were completed, along with extensive documentation and refactors to improve maintainability and onboarding for new contributors. Key outcomes include improved routing decision quality, more accurate placement guidance, and a cleaner, well-documented codebase ready for broader adoption and extension.
May 2025 highlights for verilog-to-routing/vtr-verilog-to-routing: Delivery across routing cost estimation, lookahead modeling, and code quality improvements. The work focused on expanding the routing utilities API, improving congestion modeling (including map lookahead), integrating post-placement channel utility data into acc_cost with safe guards, and enabling CLI-based tuning of routing parameters. Substantial 3D routing support and channel width estimation groundwork were completed, along with extensive documentation and refactors to improve maintainability and onboarding for new contributors. Key outcomes include improved routing decision quality, more accurate placement guidance, and a cleaner, well-documented codebase ready for broader adoption and extension.
April 2025 monthly summary for verilog-to-routing/vtr-verilog-to-routing focused on delivering architectural improvements, debugging support, and maintainability enhancements that drive reliability and business value in RR graph handling and routing workflows.
April 2025 monthly summary for verilog-to-routing/vtr-verilog-to-routing focused on delivering architectural improvements, debugging support, and maintainability enhancements that drive reliability and business value in RR graph handling and routing workflows.
March 2025 monthly summary for verilog-to-routing/vtr-verilog-to-routing. Key features delivered include computation of channel utilization with Y-channel details and user UX improvements; code quality, documentation, and build stability were enhanced through a series of refactors, tests, and formatting updates. The month delivered measurable business value in routing insight, reliability, and developer productivity.
March 2025 monthly summary for verilog-to-routing/vtr-verilog-to-routing. Key features delivered include computation of channel utilization with Y-channel details and user UX improvements; code quality, documentation, and build stability were enhanced through a series of refactors, tests, and formatting updates. The month delivered measurable business value in routing insight, reliability, and developer productivity.
February 2025 highlights for verilog-to-routing/vtr-verilog-to-routing: two key features delivered improving configurability and maintainability. Implemented dynamic RR graph edge overrides with CLI support and added comprehensive DeviceGrid documentation improvements. No major bugs fixed in this period. The work emphasizes business value through faster routing experiments, easier parameter tuning, and clearer onboarding with enhanced docs.
February 2025 highlights for verilog-to-routing/vtr-verilog-to-routing: two key features delivered improving configurability and maintainability. Implemented dynamic RR graph edge overrides with CLI support and added comprehensive DeviceGrid documentation improvements. No major bugs fixed in this period. The work emphasizes business value through faster routing experiments, easier parameter tuning, and clearer onboarding with enhanced docs.
January 2025: Delivered maintainability, modernization, and stability improvements across the verilog-to-routing project, with a focus on API cleanliness, build health, and robust runtime behavior.
January 2025: Delivered maintainability, modernization, and stability improvements across the verilog-to-routing project, with a focus on API cleanliness, build health, and robust runtime behavior.
December 2024 monthly summary for verilog-to-routing/vtr-verilog-to-routing: Delivered a major Placer Timing and Placement Architecture overhaul, stabilized builds and tests, and refined routing validation. The work focused on accuracy, scalability, and maintainability to accelerate design-automation workflows while reducing regression risk.
December 2024 monthly summary for verilog-to-routing/vtr-verilog-to-routing: Delivered a major Placer Timing and Placement Architecture overhaul, stabilized builds and tests, and refined routing validation. The work focused on accuracy, scalability, and maintainability to accelerate design-automation workflows while reducing regression risk.
Month: 2024-11. The period delivered tangible business value through a mix of key feature delivery, critical bug fixes, and robust architectural improvements across verilog-to-routing/vtr-verilog-to-routing. Efforts focused on reliability, performance, maintainability, and test stability to accelerate shipping cycles and improve predictability for nightly/regression results.
Month: 2024-11. The period delivered tangible business value through a mix of key feature delivery, critical bug fixes, and robust architectural improvements across verilog-to-routing/vtr-verilog-to-routing. Efforts focused on reliability, performance, maintainability, and test stability to accelerate shipping cycles and improve predictability for nightly/regression results.

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