LINQits: big data on little clients

By Eric S. Chung, John D. Davis, Jaewon Lee. 2013

106 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Hardware and Architecture, 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 Computer Networks and Communications

1. Christopher J. Rossbach
2. Dennis Fetterly
3. David M. Brooks
4. Gu-Yeon Wei
5. Yuan Yu

In Hardware and Architecture

1. Gu-Yeon Wei
2. David M. Brooks
3. Christopher J. Rossbach
4. Yakun Sophia Shao
5. Yuan Yu

In ML Systems & Hardware

1. Gu-Yeon Wei
2. David M. Brooks
3. Carole-Jean Wu

Citations in the corpus

• TensorFlow: A system for large-scale machine learning (2016, neutral): “ative machine learning algorithms (such as k-means clustering and logistic regression) when the input data fit in memory. Dandelion extends DryadLINQ to support generating code for GPUs [63] and FPGAs [16]. The principal limitation of a batch dataflow system is that it requires the input data to be im”
• Dandelion: a compiler and runtime for heterogeneous systems (2013, background): “In this paper, we focus on our implementation for GPUs.”
• MachSuite: Benchmarks for accelerator design and customized architectures (2014, background): “While this effect shows up in benchmarks for conventional platforms, accelerators are more Research Area Publications Acc-Centric [11], [12], [13], [14], [15], [16], [21] Architectures [22], [34], [37], [40], [41], [43], [46] HLS Optimizations [4], [6], [7], [17], [20], [23], [31], [32], [33], [35],”