49 citations · 92 across the 4 of their papers we have counts for
4 papers
SambaNova SN40L: Scaling the AI Memory Wall with Dataflow and Composition of Experts
Raghu Prabhakar, Ram Sivaramakrishnan, Darshan Gandhi +27
Monolithic large language models (LLMs) like GPT-4 have paved the way for modern generative AI applications. Training, serving, and maintaining monolithic LLMs at scale, however, r…
Flare: Native Compilation for Heterogeneous Workloads in Apache Spark
Grégory M. Essertel, Ruby Y. Tahboub, James M. Decker +3
The need for modern data analytics to combine relational, procedural, and map-reduce-style functional processing is widely recognized. State-of-the-art systems like Spark have adde…
Generating Configurable Hardware from Parallel Patterns
Raghu Prabhakar, David Koeplinger, Kevin Brown +4
In recent years the computing landscape has seen an in- creasing shift towards specialized accelerators. Field pro- grammable gate arrays (FPGAs) are particularly promising as they…
Building-Blocks for Performance Oriented DSLs
Tiark Rompf, Arvind K. Sujeeth, HyoukJoong Lee +4
Domain-specific languages raise the level of abstraction in software development. While it is evident that programmers can more easily reason about very high-level programs, the sa…