An opinionated ECS-like framework
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Apr 10, 2024 - Rust
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cache-locality
Here are 9 public repositories matching this topic...
Operation-Role Coordination & Hedging Interface Daemon (ORCHID) — The low-level micro-architectural execution core of the RAMNET distributed computing protocol.
go toolchain multi-threading high-performance assembly x86-64 concurrency parallel-computing low-latency c11 bare-metal systems-programming loop-optimization modern-c cache-locality micro-architecture memory-banking
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Jun 6, 2026 - Go
Series of laboratory assignments focused on parallel and distributed computing concepts, from basic speedup analysis to advanced GPU programming.
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May 22, 2025 - Jupyter Notebook
Experiment: Mapping 3D space → cache-friendly memory → real-time audio response
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May 12, 2026 - C++
A systems-oriented Data Structures and Algorithms repository focused on computational thinking, memory behavior, runtime systems, and AI infrastructure using C++ and Java. Learn DSA through benchmarking, cache locality, observability, and real execution behavior rather than interview-style memorization.
java performance-engineering benchmarking algorithms cpp artificial-intelligence data-structures memory-management systems-programming runtime-analysis vector-search cache-locality ai-infrastructure computational-systems
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Jun 12, 2026 - C++
Python lab for exploring memory bandwidth, cache effects, and locality in accelerator workloads
performance-engineering hpc cuda memory-bandwidth gpu-performance roofline-model cache-locality tiling-optimization
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Dec 24, 2025 - Python
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Jul 12, 2024 - Rust
High-performance C++ order book: P50 0.21μs, P99.9 5.7μs, 2.4M orders/sec. SPSC lock-free queue, thread-local slab allocator, price-time priority matching. 51 tests, EC2 Spot benchmarking.
multi-threading zero-copy simd market-data low-latency lock-free raii hft system-programming order-book matching-engine memory-pool trading-systems cpp20 lock-free-queue cplusplus20 cache-locality hft-infrastructure
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May 31, 2026 - C++
Performance analysis of sequential, row-wise, column-wise, and block-based matrix multiplication using POSIX threads, with benchmarking, speedup, efficiency, and cache locality analysis.
c benchmarking parallel-computing multithreading matrix-multiplication pthreads performance-analysis operating-systems cache-locality
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Jun 5, 2026 - C
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