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ACM Transactions on Computer Systems (TOCS), Volume 33 Issue 3, September 2015

The RAMCloud Storage System
John Ousterhout, Mendel Rosenblum, Stephen Rumble, Ryan Stutsman, Stephen Yang, Arjun Gopalan, Ashish Gupta, Ankita Kejriwal, Collin Lee, Behnam Montazeri, Diego Ongaro, Seo Jin Park, Henry Qin
Article No.: 7
DOI: 10.1145/2806887

RAMCloud is a storage system that provides low-latency access to large-scale datasets. To achieve low latency, RAMCloud stores all data in DRAM at all times. To support large capacities (1PB or more), it aggregates the memories of thousands of...

Shielding Applications from an Untrusted Cloud with Haven
Andrew Baumann, Marcus Peinado, Galen Hunt
Article No.: 8
DOI: 10.1145/2799647

Today’s cloud computing infrastructure requires substantial trust. Cloud users rely on both the provider’s staff and its globally distributed software/hardware platform not to expose any of their private data.

We introduce the...

SKMD: Single Kernel on Multiple Devices for Transparent CPU-GPU Collaboration
Janghaeng Lee, Mehrzad Samadi, Yongjun Park, Scott Mahlke
Article No.: 9
DOI: 10.1145/2798725

Heterogeneous computing on CPUs and GPUs has traditionally used fixed roles for each device: the GPU handles data parallel work by taking advantage of its massive number of cores while the CPU handles non data-parallel work, such as the sequential...

Efficient Control and Communication Paradigms for Coarse-Grained Spatial Architectures
Michael Pellauer, Tushar Krishna, Daniel Lustig, Stephen Maresh, Vladimir Pavlov, Rachid Rayess, Antonia Zhai, Joel Emer, Angshuman Parashar, Michael Adler, Bushra Ahsan, Randy Allmon, Neal Crago, Kermin Fleming, Mohit Gambhir, Aamer Jaleel
Article No.: 10
DOI: 10.1145/2754930

There has been recent interest in exploring the acceleration of nonvectorizable workloads with spatially programmed architectures that are designed to efficiently exploit pipeline parallelism. Such an architecture faces two main problems: how to...