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Balbir Singh

PROFILE

Balbir Singh

During a two-month period, Balbir Singh developed advanced scheduling features for the sched-ext/scx repository, focusing on adaptive CPU-aware and NUMA-aware task scheduling. He implemented per-CPU performance counter tracking and policy-driven dispatch logic in C and Rust, enabling tasks to remain on the same CPU or be distributed based on real-time performance events. Singh further enhanced the scheduler with NUMA support for older kernels by introducing a CPU-to-node map in BPF, initialized from user-space topology data. These changes improved locality, reduced latency, and broadened deployment options, demonstrating deep expertise in kernel development, performance optimization, and scheduling algorithms.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

2Total
Bugs
0
Commits
2
Features
2
Lines of code
256
Activity Months2

Work History

December 2025

1 Commits • 1 Features

Dec 1, 2025

December 2025: NUMA-Aware Scheduling Enhancement delivered for sched-ext/scx. Implemented NUMA support for older kernels by adding a CPU->node map in BPF and initializing it from user-space NUMA topology data collected via the topology crate. Enabled NUMA by default and optimized perf-counter based scheduling to select the least-busy CPU from the same NUMA node as the previous CPU, enhancing locality and throughput. This work broadens deployment options, improves performance for NUMA workloads, and reduces cross-node migrations. All changes tracked in commit 738e356afc3eaab7cfde78e1c034d5370615276d (Andrea Righi, Balbir Singh).

November 2025

1 Commits • 1 Features

Nov 1, 2025

November 2025 (sched-ext/scx): Delivered Adaptive CPU-aware Task Scheduling with per-CPU performance counter tracking and policy-based dispatch. Implemented logic to keep tasks on the same CPU or distribute them based on perf events, and added a mechanism to select the least busy (idle) CPU for task dispatching to reduce latency and improve resource utilization. Enabled perf-counter collection in perfmon mode (-e) and used per-CPU usage data to drive dynamic scheduling decisions, including safeguards to never migrate migration-disabled tasks. This work enhances scheduling efficiency, reduces contention, and improves CPU utilization across varied workloads.

Activity

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Quality Metrics

Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage30.0%

Skills & Technologies

Programming Languages

CRust

Technical Skills

BPFNUMAkernel developmentperformance optimizationscheduling algorithms

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

sched-ext/scx

Nov 2025 Dec 2025
2 Months active

Languages Used

CRust

Technical Skills

kernel developmentperformance optimizationscheduling algorithmsBPFNUMA