EPFL-LAP/dynamatic
Jan 2026 – May 2026
3 Months active
Languages Used
C++PythonVHDLVerilog
Technical Skills
C++C++ programmingCompiler DesignDataflow AnalysisGraph Theoryalgorithm design
ziadomalik
PROFILE
Ziadomalik
Over a three-month period, contributed to EPFL-LAP/dynamatic by developing advanced dataflow circuit analysis and optimization features. Built a graph-based enumeration tool to improve latency balancing and occupancy, and implemented synchronization-cycle analysis for performance-critical cycle detection. Leveraged C++, Python, and Verilog to deliver LP-based latency and occupancy balancing, introducing a COUNTER_BUFFER type to optimize buffer usage and reduce latency. Enhanced circuit modeling by adding synthetic forks, FPGA-specific constraints, and refined memory-controller interactions, resulting in more accurate circuit representations and fewer stalls. Demonstrated expertise in algorithm optimization, dataflow analysis, and FPGA development, with disciplined version control and end-to-end implementation.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
3
Lines of code
4,266
Activity Months3
Your Network
15 peopleWork History
May 2026
1 Commits • 1 Features
May 1, 2026May 2026 performance summary for EPFL-LAP/dynamatic: Delivered circuit modeling enhancements and data flow constraints to reduce stalls and improve throughput. Implemented synthetic forks, FPGA20 min/maxOpaque constraints, and refined EndOp criteria to reflect memory-controller interactions; increased sequenceLength to 4 to fix stalls in components like gsumif. This work, captured in commit 9db13a8b734fb912a12eca870393fecd0df306e3 (#919), improved modeling fidelity, reduced stall conditions, and provided clearer EndOp semantics for optimization and scheduling. Impact: more accurate circuit representations, fewer stalls, and improved predictability for optimization and scheduling; technologies demonstrated include circuit modeling, constraint-based dataflow design, and memory-controller integration, with robust version control documentation.
1 Commits • 1 Features
May 1, 2026May 2026 performance summary for EPFL-LAP/dynamatic: Delivered circuit modeling enhancements and data flow constraints to reduce stalls and improve throughput. Implemented synthetic forks, FPGA20 min/maxOpaque constraints, and refined EndOp criteria to reflect memory-controller interactions; increased sequenceLength to 4 to fix stalls in components like gsumif. This work, captured in commit 9db13a8b734fb912a12eca870393fecd0df306e3 (#919), improved modeling fidelity, reduced stall conditions, and provided clearer EndOp semantics for optimization and scheduling. Impact: more accurate circuit representations, fewer stalls, and improved predictability for optimization and scheduling; technologies demonstrated include circuit modeling, constraint-based dataflow design, and memory-controller integration, with robust version control documentation.
May 2026
April 2026
2 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for EPFL-LAP/dynamatic: Delivered LP-based Dataflow Circuit Optimization for latency/occupancy balancing and introduced COUNTER_BUFFER to optimize space and latency. Implemented end-to-end support across the dynamatic stack and updated RTL/HDL paths. Addressed throughput bottlenecks and a 2x latency regression on FIR by improving token-handling and handshake flows. This work delivers measurable business value: reduced resource usage, lower latency, and improved scalability for larger dataflow graphs.
April 2026
2 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for EPFL-LAP/dynamatic: Delivered LP-based Dataflow Circuit Optimization for latency/occupancy balancing and introduced COUNTER_BUFFER to optimize space and latency. Implemented end-to-end support across the dynamatic stack and updated RTL/HDL paths. Addressed throughput bottlenecks and a 2x latency regression on FIR by improving token-handling and handshake flows. This work delivers measurable business value: reduced resource usage, lower latency, and improved scalability for larger dataflow graphs.
January 2026
2 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for EPFL-LAP/dynamatic: - Key features delivered: Enhanced Dataflow Circuit Analysis Toolset, featuring a graph-based enumeration tool for reconvergent paths to improve latency balancing and occupancy, and a synchronization-cycle enumeration feature to identify performance-critical cycle pairs for optimization. - Major bugs fixed: None documented for this period. - Overall impact and accomplishments: Strengthened the dataflow analysis framework, enabling more predictable hardware mappings and potential throughput gains through improved timing/occupancy predictions; established groundwork for ongoing latency/throughput optimizations. - Technologies/skills demonstrated: Graph-based analysis, dataflow optimization techniques, performance instrumentation, and disciplined use of version control for feature delivery.
2 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for EPFL-LAP/dynamatic: - Key features delivered: Enhanced Dataflow Circuit Analysis Toolset, featuring a graph-based enumeration tool for reconvergent paths to improve latency balancing and occupancy, and a synchronization-cycle enumeration feature to identify performance-critical cycle pairs for optimization. - Major bugs fixed: None documented for this period. - Overall impact and accomplishments: Strengthened the dataflow analysis framework, enabling more predictable hardware mappings and potential throughput gains through improved timing/occupancy predictions; established groundwork for ongoing latency/throughput optimizations. - Technologies/skills demonstrated: Graph-based analysis, dataflow optimization techniques, performance instrumentation, and disciplined use of version control for feature delivery.
January 2026
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Quality Metrics
Correctness92.0%
Maintainability80.0%
Architecture92.0%
Performance80.0%
AI Usage52.0%
Skills & Technologies
Programming Languages
C++PythonVHDLVerilog
Technical Skills
Algorithm OptimizationC++C++ developmentC++ programmingCircuit DesignCompiler DesignDataflow AnalysisFPGA DevelopmentFPGA designFPGA programmingGraph TheoryPython scriptingalgorithm designdata structuresdataflow circuits
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