Can we build purpose-built, warehouse-scale datacenters customized for large-scale arrays of ASIC accelerators or, to use a term coined in the paper by Michael...Parthasarathy Ranganathan From Communications of the ACM | July 2020
This paper distills lessons from Bitcoin ASIC Clouds and applies them to other large scale workloads, showing superior TCO (total cost of ownership) versus CPU...Michael Bedford Taylor, Luis Vega, Moein Khazraee, Ikuo Magaki, Scott Davidson, Dustin Richmond From Communications of the ACM | July 2020
Instead of handing trace records off to a collector for long-term storage and future processing, the system described in "Pivot Tracing: Dynamic Causal Monitoring...Rebecca Isaacs From Communications of the ACM | March 2020
This paper presents Pivot Tracing, a monitoring framework for distributed systems, which addresses the limitations of today's monitoring and diagnosis tools by...Jonathan Mace, Ryan Roelke, Rodrigo Fonseca From Communications of the ACM | March 2020
The authors of "OpenFab" propose to revisit the processing pipeline that turns a 3D model into machine instructions in light of the solutions developed in computer...Sylvain Lefebvre From Communications of the ACM | September 2019
We present OpenFab, a programmable pipeline for synthesis of multimaterial 3D printed objects that is inspired by RenderMan and modern GPU pipelines.
Kiril Vidimče, Szu-Po Wang, Jonathan Ragan-Kelley, Wojciech Matusik From Communications of the ACM | September 2019
There is a need for alternative techniques for understanding and evaluating QUIC when compared with previous transport-layer protocols.
Arash Molavi Kakhki, Samuel Jero, David Choffnes, Cristina Nita-Rotaru, Alan Mislove From Communications of the ACM | July 2019
This work studies the potential of a paradigm of heterogeneous execution models by developing a specialization engine for explicit-dataflow (SEED) and integrating...Tony Nowatzki, Vinay Gangadhar, Karthikeyan Sankaralingam From Communications of the ACM | June 2019
The authors of "Distributed Strategies for Computational Sprints" bring the rich theory of allocating scarce resources to the challenge of managing computational...Thomas F. Wenisch From Communications of the ACM | February 2019
We describe a computational sprinting architecture in which many, independent chip multiprocessors share a power supply and sprints are constrained by the chips'...Songchun Fan, Seyed Majid Zahedi, Benjamin C. Lee From Communications of the ACM | February 2019
"Scalable Computation of High-Order Optimization Queries," by Brucato et al., makes a case for marrying the well-established paradigms of constrained optimization...Surajit Chaudhuri From Communications of the ACM | February 2019
We present a complete system that supports package queries, a new query model that extends traditional database queries to handle complex constraints and preferences...Matteo Brucato, Azza Abouzied, Alexandra Meliou From Communications of the ACM | February 2019
"LIBS: A Bioelectrical Sensing System from Human Ears for Staging Whole-Night Sleep Study" provides a nice balance in terms of minimizing the burden on users and...Tanzeem Choudhury From Communications of the ACM | November 2018
We explore a new form of wearable systems, called LIBS, that can continuously record biosignals such as brain wave, eye movements, and facial muscle contractions...Anh Nguyen, Raghda Alqurashi, Zohreh Raghebi, Farnoush Banaei-Kashani, Ann C. Halbower, Tam Vu From Communications of the ACM | November 2018
"Emotion Recognition Using Wireless Signals" shows that not only can the heartrate be counted with accuracy comparable to ECG devices, but the variabilities of...Romit Roy Choudhury From Communications of the ACM | September 2018
This paper demonstrates a new technology that can infer a person's emotions from RF signals reflected off his body.
Mingmin Zhao, Fadel Adib, Dina Katabi From Communications of the ACM | September 2018
"Accelerating GPU Betweenness Centrality" by McLaughlin and Bader ably addresses the challenges to authors of efficient graph implementations in the important context...John D. Owens From Communications of the ACM | August 2018
We present a hybrid GPU implementation that provides good performance on graphs of arbitrary structure rather than just scale-free graphs as was done previously...Adam McLaughlin, David A. Bader From Communications of the ACM | August 2018