Computer Architecture: A Quantitative Approach

By David A. Patterson, John L. Hennessy. 1969

Subfields: ML Systems & Hardware

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In ML Systems & Hardware

1. Carole-Jean Wu
2. Gu-Yeon Wei
3. David M. Brooks
4. Udit Gupta
5. Matei A. Zaharia
6. David A. Patterson
7. Kim M. Hazelwood
8. G. Diamos

Citations in the corpus

• Fast Inference from Transformers via Speculative Decoding (2022, neutral): “Speculative execution (Burton, 1985; Hennessy & Patterson, 2012) is an optimization technique, common in processors, where a task is performed in parallel to verifying if it’s actually needed - the payoff being increased concurrency.”
• MLPerf Training Benchmark (2019, background): “History shows that benchmarks accelerate progress (Hennessy & Patterson, 2011); for example, breakthroughs in microprocessor and relational-database systems in the 1980s inspired industry consortiums to create Standard Performance Evaluation 1 Google 2 Intel 3 Stanford University 4 Landing AI 5…”