"Optimizing Performance and Energy Efficiency in Massively Parallel Systems" PhD Dissertation repository.
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Updated
Oct 14, 2022
"Optimizing Performance and Energy Efficiency in Massively Parallel Systems" PhD Dissertation repository.
Immix mark-region garbage collector utilizing hierarchical block and line marks, fine-grained object allocation, and opportunistic mark-sweep-evacuate defragmentation.
Generational GC with nursery and mature generations using write-barrier card table tracking
jemalloc-style high concurrency slab allocator with multi-size classes, bitmap run tracking, arena partitioning, and dirty page decay management.
jemalloc-style high concurrency slab allocator with multi-size classes, bitmap run tracking, arena partitioning, and dirty page decay management.
Generational GC with nursery and mature generations using write-barrier card table tracking
Tri-color abstraction mark-and-sweep garbage collection engine with worklist traversal
Tri-color abstraction mark-and-sweep garbage collection engine with worklist traversal
Reference counting engine with Bacon-Rajan trial deletion cycle collection
Reference counting engine with Bacon-Rajan trial deletion cycle collection
Immix mark-region garbage collector utilizing hierarchical block and line marks, fine-grained object allocation, and opportunistic mark-sweep-evacuate defragmentation.
XiTAO is a lightweight layer built on top of modern C++ features with the goals of being low-overhead and serving as a development platform for testing scheduling and resource management algorithms.
Execution Constraint Engine (ECE) is a runtime decision layer for multi-step LLM workflows. ECE (v1) focuses on cost constraints, acting as a guardrail for unbounded execution in loops, agents, and multi-step systems. It evaluates projected cost before each step and stops execution before exceeding a defined budget.
⚙️ Runtime Intelligence Architecture for Pattern-Oriented Compute, Continuity, and Adaptive Execution Systems. M-OS — Pattern Graph Runtime for Hybrid Compute (CPU / OpenCL / AI backends)
Runtime-core research for long-lived AI surfaces: worker ownership, transaction scheduling, and bounded projection.
Sessions, transactions, and version history for your knowledge graph. Operate without becoming the authority.
Relational Time Engine (RTE): runtime density regulation for compute-efficient transformer inference. Demonstrates up to 75% layer reduction with improved latency and throughput.
Exploratory AI infrastructure project modeling semantic KV-cache orchestration, memory tiering, and HBM/CXL movement tradeoffs for long-context LLM inference.
Deterministic intermediate representation for AI agents — compile, verify, execute, and replay structured intent.
A systems research platform for semantic KV-cache orchestration, topology-aware memory placement, distributed prefix reuse, and rack-scale inference memory simulation.
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