Indefinite Scalability for Living Computation
Authors: David Ackley
AAAI 2016 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | for several years we ve been working on indeļ¬nite scalability, mostly in simulation. Unless stated otherwise, the material in this summary paper is drawn from (Ackley and Cannon 2011; Ackley 2013a; 2013b; Ackley, Cannon, and Williams 2013; Ackley and Small 2014; Ackley and Ackley 2015). |
| Researcher Affiliation | Academia | David H. Ackley University of New Mexico Department of Computer Science Albuquerque, NM 87131 ackley@cs.unm.edu |
| Pseudocode | Yes | Figure 2: The MFM per-tile event loop. (See text.) |
| Open Source Code | No | The paper discusses the development of the ulam programming language and its compilation but does not provide any link or explicit statement about making the source code publicly available. |
| Open Datasets | No | The paper describes simulated systems (e.g., Demon Horde Sort, self-assembling data switch) which appear to generate or process internal data, rather than using external, publicly available datasets. No dataset name, link, or citation is provided. |
| Dataset Splits | No | The paper does not mention any training, validation, or test dataset splits, as its experimental work is based on simulations of a proposed architecture rather than traditional machine learning datasets. |
| Hardware Specification | No | The paper mentions "2009-era prototype tile hardware at bottom" in Figure 1, which refers to the conceptual hardware of the Movable Feast Machine itself. It does not provide specifications (e.g., CPU, GPU models, memory) of the hardware used to run the simulations mentioned in the paper. |
| Software Dependencies | No | The paper mentions that 'ulam compiles into C++, and from there via gcc to machine code', but it does not specify version numbers for C++ or gcc, nor does it list any other software dependencies with version information. |
| Experiment Setup | No | The paper describes the functional aspects of the simulated systems and their behavior (e.g., 'average events per site'), but it does not provide specific experimental setup details such as hyperparameters, optimization settings, or other concrete configuration parameters for the simulations. |