
Worked extensively on the KULeuven-MICAS/snax_cluster repository, delivering hardware-software features for accelerator integration, data processing, and recognition workloads. Developed multi-accelerator support for RISC-V cores, optimized DMA transfers for high-dimensional data, and implemented robust CI/CD workflows to ensure reproducible builds. Enhanced the Hypercorex library and recognition pipelines by refining configuration parameters and data interfaces, while expanding test infrastructure and documentation to improve onboarding and validation. Utilized SystemVerilog, C, and Python scripting to build and validate hardware modules, automate data generation, and streamline build systems. Focused on maintainability, performance optimization, and scalable hardware design throughout the development cycle.
April 2026 monthly summary for KULeuven-MICAS/snax_cluster: Key feature delivered was a targeted dependency upgrade of hypercorex to v1.0.1 in the Bender configuration to ensure compatibility with the latest features and fixes. No major bugs were fixed this month based on available data. Overall impact includes improved stability, maintainability, and upgrade readiness, enabling smoother future deployments and reduced risk of regressions. Technologies demonstrated include dependency management, semantic versioning discipline, and configuration management within a CI-driven workflow.
April 2026 monthly summary for KULeuven-MICAS/snax_cluster: Key feature delivered was a targeted dependency upgrade of hypercorex to v1.0.1 in the Bender configuration to ensure compatibility with the latest features and fixes. No major bugs were fixed this month based on available data. Overall impact includes improved stability, maintainability, and upgrade readiness, enabling smoother future deployments and reduced risk of regressions. Technologies demonstrated include dependency management, semantic versioning discipline, and configuration management within a CI-driven workflow.
October 2025 monthly summary for KULeuven-MICAS/snax_cluster: Delivered a major overhaul to the Hypercorex library stability and recognition pipeline, consolidating performance and reliability improvements across recognition workflows. The work included configuration parameter updates, refined data reader/writer interfaces, and streamer configuration enhancements across AM search, character recognition, and digit recognition to reduce failures and improve throughput.
October 2025 monthly summary for KULeuven-MICAS/snax_cluster: Delivered a major overhaul to the Hypercorex library stability and recognition pipeline, consolidating performance and reliability improvements across recognition workflows. The work included configuration parameter updates, refined data reader/writer interfaces, and streamer configuration enhancements across AM search, character recognition, and digit recognition to reduce failures and improve throughput.
Month: 2025-08 - Delivered extended support for longer tiled programs across multiple applications in KULeuven-MICAS/snax_cluster, enabling processing of larger/more complex data patterns across digit, DNA, language, and UCIHAR. Implemented end-to-end changes including new 'long' variants, build-system updates, and data generation tooling, with targeted C source modifications to accommodate extended functionality. This work reduces future integration effort and enables broader applicability of the clustering/HD C workflow while maintaining stability and testability. No major bug regressions observed; groundwork laid for performance tuning and scalability.
Month: 2025-08 - Delivered extended support for longer tiled programs across multiple applications in KULeuven-MICAS/snax_cluster, enabling processing of larger/more complex data patterns across digit, DNA, language, and UCIHAR. Implemented end-to-end changes including new 'long' variants, build-system updates, and data generation tooling, with targeted C source modifications to accommodate extended functionality. This work reduces future integration effort and enables broader applicability of the clustering/HD C workflow while maintaining stability and testability. No major bug regressions observed; groundwork laid for performance tuning and scalability.
2025-06 Monthly summary for KULeuven-MICAS/snax_cluster. Focused on delivering feature-rich Hypercorex workloads, stabilizing hardware interfaces, and expanding recognition and data processing capabilities. Key outcomes included a critical bug fix for multi-accelerator mux width, new am-search application, data slicing and auto-count controls, multiple recognition workloads (ISOLET, Digit, UCIHAR, DNA, Language), and the vec-compress tool. CI/build improvements enable smoother experimentation and validation, with automated data generation scripts and tests.
2025-06 Monthly summary for KULeuven-MICAS/snax_cluster. Focused on delivering feature-rich Hypercorex workloads, stabilizing hardware interfaces, and expanding recognition and data processing capabilities. Key outcomes included a critical bug fix for multi-accelerator mux width, new am-search application, data slicing and auto-count controls, multiple recognition workloads (ISOLET, Digit, UCIHAR, DNA, Language), and the vec-compress tool. CI/build improvements enable smoother experimentation and validation, with automated data generation scripts and tests.
May 2025 Monthly Summary: Key features delivered, major fixes, impact, and skills demonstrated focused on delivering business value through scalable accelerator integration and performance optimizations. Key features delivered: - Multi-Accelerator Support for a Single RISC-V Core: Enabled multiple accelerators to attach to a single core with hardware/software changes such as updated multiplexer/demultiplexer logic, updated templates and configuration files to support multiple accelerator CSR ports and TCDM connections, and removal of obsolete mac-mult configurations and test files. Added CSR-based control for multi-accelerator usage and corresponding software APIs and tests, with CI/build updates. (Commits: 232d86d731b1f5e84aacc4831cce5c5554c5bbd4; 9c27773382ee9af281ad1c4505b42a6ebc5a2ceb) - DMA Optimization for High-Dimensional Data Loading and Performance Profiling: Refactored DMA start calls to enable efficient 2D transfers with adjusted strides and counts, reducing redundant loop iterations. Added timing measurements for DMA load, core configuration, and core execution to enable profiling. (Commit: 027e27237997c666b8d6207c0b1a01514d0f42de) Major bugs fixed: - Removed obsolete mac-mult configurations and associated tests, stabilizing the accelerator configuration path. - Eliminated overhead in DMA start path by adopting 2D transfer strategy and streamlined transfer scheduling, improving reliability and reproducibility of performance measurements. Overall impact and accomplishments: - Strengthened hardware-software co-design for scalable accelerator integration, enabling richer workloads execution with improved throughput potential for high-dimensional data tasks. - Improved testing and CI readiness, reducing configuration debt and enabling faster iteration cycles. Technologies/skills demonstrated: - CSR-based accelerator control, multi-accelerator orchestration, and related software APIs/tests. - 2D DMA transfers, stride/count optimization, and performance profiling instrumentation. - Template/config management, test/CI updates, and code maintenance for scalable hardware platforms.
May 2025 Monthly Summary: Key features delivered, major fixes, impact, and skills demonstrated focused on delivering business value through scalable accelerator integration and performance optimizations. Key features delivered: - Multi-Accelerator Support for a Single RISC-V Core: Enabled multiple accelerators to attach to a single core with hardware/software changes such as updated multiplexer/demultiplexer logic, updated templates and configuration files to support multiple accelerator CSR ports and TCDM connections, and removal of obsolete mac-mult configurations and test files. Added CSR-based control for multi-accelerator usage and corresponding software APIs and tests, with CI/build updates. (Commits: 232d86d731b1f5e84aacc4831cce5c5554c5bbd4; 9c27773382ee9af281ad1c4505b42a6ebc5a2ceb) - DMA Optimization for High-Dimensional Data Loading and Performance Profiling: Refactored DMA start calls to enable efficient 2D transfers with adjusted strides and counts, reducing redundant loop iterations. Added timing measurements for DMA load, core configuration, and core execution to enable profiling. (Commit: 027e27237997c666b8d6207c0b1a01514d0f42de) Major bugs fixed: - Removed obsolete mac-mult configurations and associated tests, stabilizing the accelerator configuration path. - Eliminated overhead in DMA start path by adopting 2D transfer strategy and streamlined transfer scheduling, improving reliability and reproducibility of performance measurements. Overall impact and accomplishments: - Strengthened hardware-software co-design for scalable accelerator integration, enabling richer workloads execution with improved throughput potential for high-dimensional data tasks. - Improved testing and CI readiness, reducing configuration debt and enabling faster iteration cycles. Technologies/skills demonstrated: - CSR-based accelerator control, multi-accelerator orchestration, and related software APIs/tests. - 2D DMA transfers, stride/count optimization, and performance profiling instrumentation. - Template/config management, test/CI updates, and code maintenance for scalable hardware platforms.
Monthly summary for 2025-04 focusing on KULeuven-MICAS/snax_cluster. This period centered on stabilizing the Questasim workflow by fixing build issues, reducing artifact size, and solidifying the CI process. The work improved reliability for simulation runs and demonstrated strong build-system optimization and environment-aware linking.
Monthly summary for 2025-04 focusing on KULeuven-MICAS/snax_cluster. This period centered on stabilizing the Questasim workflow by fixing build issues, reducing artifact size, and solidifying the CI process. The work improved reliability for simulation runs and demonstrated strong build-system optimization and environment-aware linking.
March 2025 SNAX Cluster: Enhanced onboarding and build reproducibility through documentation improvements. Delivered getting started guide, Docker quickstart, refined build instructions, and clarified streamer configurations and CSR registers. No major bug fixes this month; focus on developer experience and maintainability. Commit: ecdcbf46e89e676736f9cc1e12ec53d804f144bb (#446).
March 2025 SNAX Cluster: Enhanced onboarding and build reproducibility through documentation improvements. Delivered getting started guide, Docker quickstart, refined build instructions, and clarified streamer configurations and CSR registers. No major bug fixes this month; focus on developer experience and maintainability. Commit: ecdcbf46e89e676736f9cc1e12ec53d804f144bb (#446).
Summary for 2024-12: Delivered two major features focused on test infrastructure and hardware wrapper configuration, enhancing validation coverage, data handling, and CI readiness. No major bugs reported this month; targeted fixes were included within CGRA-related work. Business impact includes earlier detection of regressions for high-dimensional data paths, more robust CSRs/streamers validation, and improved data throughput through adjusted FIFO depths. Technologies demonstrated include Python scripting for data generation, C test programming, Makefile-driven builds, multi-language test harness, and CGRA wrapper configuration.
Summary for 2024-12: Delivered two major features focused on test infrastructure and hardware wrapper configuration, enhancing validation coverage, data handling, and CI readiness. No major bugs reported this month; targeted fixes were included within CGRA-related work. Business impact includes earlier detection of regressions for high-dimensional data paths, more robust CSRs/streamers validation, and improved data throughput through adjusted FIFO depths. Technologies demonstrated include Python scripting for data generation, C test programming, Makefile-driven builds, multi-language test harness, and CGRA wrapper configuration.
November 2024 focused on tightening correctness and build reliability for the snax_cluster repository. Key deliverables include a bug fix that widens bit widths for Hypercorex instruction loop counts and updates the related golden values, and a CI enhancement that pins the snitch_cluster Docker image to a specific commit to ensure deterministic builds. These changes improve data integrity at the encoding layer, stabilize pipelines, and reduce release risk.
November 2024 focused on tightening correctness and build reliability for the snax_cluster repository. Key deliverables include a bug fix that widens bit widths for Hypercorex instruction loop counts and updates the related golden values, and a CI enhancement that pins the snitch_cluster Docker image to a specific commit to ensure deterministic builds. These changes improve data integrity at the encoding layer, stabilize pipelines, and reduce release risk.
Concise monthly summary for 2024-10 focusing on KULeuven-MICAS/snax_cluster work; highlights key features delivered, major bugs fixed, overall impact, and technologies demonstrated.
Concise monthly summary for 2024-10 focusing on KULeuven-MICAS/snax_cluster work; highlights key features delivered, major bugs fixed, overall impact, and technologies demonstrated.

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