Multi-threaded batch processing and background jobs for .NET Core
Multi-threaded batch processing and background jobs for .NET Core - runlyio/core-dotnet
Multi-threaded batch processing and background jobs for .NET Core launched on July 28, 2020 with 8 votes, #1,161 of 4,305 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 6 years on.
Does a similar job
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TaskBotJS – TypeScript and JavaScript background job processing2018 · github.com · ▲137My favorite JS/TS job processing framework. Maybe yours too? [ARCHIVED] - eropple/taskbotjs
Forkrun – NUMA-aware shell parallelizer (50×–400× faster than parallel)Mar 2026 · github.com · ▲151forkrun is the culmination of a 10-year-long journey focused on "how to make shell parallelization fast". What started as a standard "fork jobs in a loop" has turned into a lock-free, CAS-retry-loop-free, SIMD-accelerated, self-tuning, NUMA aware shell-based stream parallelization engine that is (mostly) a drop-in replacement for xargs -P and GNU parallel. On my 14-core/28-thread i9-7940x, forkrun achieves: * 200,000+ batch dispatches/sec (vs ~500 for GNU Parallel) * ~95–99% CPU utilization across all 28 logical cores, even when the workload is non-existant (bash no-ops / `:`)…
Rust macro utility for batching expensive async operations2025 · github.com · ▲28rust macro util for batching expensive operations. Contribute to hackermondev/batched development by creating an account on GitHub.
Async tasks in 350 lines of C2024 · github.com · ▲146Tasks are a primitive for asynchronous programming and an alternative to working with threads directly. Instead of creating a thread, performing work, then waiting on it using synchronization primitives, you only define a unit of work and let a scheduler decide when and where to execute it. The threads that the scheduler uses are created once and reused for many tasks throughout the program's lifetime. In most cases, creating and executing a task requires not even a single syscall and is a significantly faster operation than creating a thread, resulting in lower latency. Furthermore, tasks…


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