IBM PC Platform and Early Standardization
June 21, 2026
Examines how the IBM PC transformed personal computing from fragmented hardware ecosystems into a shared platform. Explores the role of x86 architecture, BIOS abstraction, MS-DOS, hardware compatibility, software ecosystems, and the rise of IBM-compatible systems. Compares the IBM-compatible model with Apple’s integrated approach and explains how standardization, compatibility, and ecosystem growth shaped the future of personal computing.
8-Bit Personal Computing and Fragmentation
June 14, 2026
Examines the rise of 8-bit personal computers in the late 1970s and early 1980s, focusing on system fragmentation, boot-to-BASIC environments, and early software distribution methods such as type-in programs, cassette tapes, and printed listings. Explores how incompatible systems developed under shared hardware constraints and how programming became a default user interaction model.
Computing History and Shared System Design
May 31, 2026
A synthesis of computing history from early personal systems through time-sharing, UNIX, and high-performance computing. Examines how resource constraints shaped system design, how abstraction layers hide but do not remove those limits, and how modern infrastructure continues the same operational patterns. Includes a practical shared-system exercise using Linux or BSD to expose multi-user behavior, scheduling, and system state.
Cyber Sword BBS: Building a Modern Linux BBS Inspired by the Dial-Up Era
May 18, 2026
A retrospective on building Cyber Sword BBS using Synchronet, Linux automation, FTN networking, and layered infrastructure inspired by classic dial-up era bulletin board systems.
Cray Supercomputers
May 10, 2026
Explore high-performance specialized computing systems in the Cray lineage, focusing on vector processing architectures, scientific workloads, and the shift from general-purpose flexibility to constraint-driven performance. Examine how physical limits, memory bandwidth, and data flow shape supercomputer design and how these principles persist in modern GPUs and distributed clusters.