LLM coding agents show cross-architecture divergence: higher GPU throughput with Gemini but prompt-sensitivity, while GPT is steadier; on Cerebras, producing runnable code dominates over performance tuning, with GPT succeeding where Gemini fails.
Programming models for wafer-scale accelerators,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.DC 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Evaluating LLM Coding Agents on SZ-Family Lossy Compression Across Architectures
LLM coding agents show cross-architecture divergence: higher GPU throughput with Gemini but prompt-sensitivity, while GPT is steadier; on Cerebras, producing runnable code dominates over performance tuning, with GPT succeeding where Gemini fails.