C++ Program Loading: From ELF to Running Process
How C++ programs are loaded — ELF segments, the _start to main() chain, dynamic linking with PLT/GOT, ASLR, real readelf/strace/proc maps output, and startup debugging.
Clear explanations of core machine learning concepts, from foundational ideas to advanced techniques. Understand attention mechanisms, transformers, skip connections, and more.
How C++ programs are loaded — ELF segments, the _start to main() chain, dynamic linking with PLT/GOT, ASLR, real readelf/strace/proc maps output, and startup debugging.
CUDA page migration and fault handling between CPU and GPU memory. Learn TLB management, DMA transfers, and memory optimization.
Flynn's Classification explained — SISD, SIMD, MISD, MIMD with interactive architecture explorer, SIMD evolution from MMX to AMX, branch divergence visualization, and workload-architecture throughput comparison.
Complete MPI guide — point-to-point and collective communication with real C and mpi4py code, deadlock simulation, performance benchmarking, communicator splitting, and debugging on HPC clusters.
OpenMP parallel programming: fork-join model, scheduling, data races, false sharing, NUMA thread affinity, and GPU offloading.
How Slurm tracks resource consumption through account hierarchies, TRES billing, and resource limits — sacctmgr, sreport, and the association model explained.