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Shinjuku: Preemptive Scheduling for {μsecond-scale} Tail Latency
The recently proposed dataplanes for microsecond scale applications, such as IX and
ZygOS, use non-preemptive policies to schedule requests to cores. For the many real-world …
ZygOS, use non-preemptive policies to schedule requests to cores. For the many real-world …
Xkaapi: A runtime system for data-flow task programming on heterogeneous architectures
Most recent HPC platforms have heterogeneous nodes composed of multi-core CPUs and
accelerators, like GPUs. Programming such nodes is typically based on a combination of …
accelerators, like GPUs. Programming such nodes is typically based on a combination of …
Habanero-Java: the new adventures of old X10
In this paper, we present the Habanero-Java (HJ) language developed at Rice University as
an extension to the original Java-based definition of the X10 language. HJ includes a …
an extension to the original Java-based definition of the X10 language. HJ includes a …
Optimizing load balancing and data-locality with data-aware scheduling
Load balancing techniques (eg work stealing) are important to obtain the best performance
for distributed task scheduling systems that have multiple schedulers making scheduling …
for distributed task scheduling systems that have multiple schedulers making scheduling …
Personal data lake with data gravity pull
C Walker, H Alrehamy - … Conference on Big Data and Cloud …, 2015 - ieeexplore.ieee.org
This paper presents Personal Data Lake, a unified storage facility for storing, analyzing and
querying personal data. A data lake stores data regardless of format and thus provides an …
querying personal data. A data lake stores data regardless of format and thus provides an …
Understanding energy behaviors of thread management constructs
Java programmers are faced with numerous choices in managing concurrent execution on
multicore platforms. These choices often have different trade-offs (eg, performance …
multicore platforms. These choices often have different trade-offs (eg, performance …
[PDF][PDF] Hierarchical work stealing on manycore clusters
Abstract Partitioned Global Address Space languages like UPC offer a convenient way of
expressing large shared data structures, especially for irregular structures that require …
expressing large shared data structures, especially for irregular structures that require …
Scalable and precise dynamic datarace detection for structured parallelism
Existing dynamic race detectors suffer from at least one of the following three limitations:(i)
space overhead per memory location grows linearly with the number of parallel threads [13] …
space overhead per memory location grows linearly with the number of parallel threads [13] …
Customizable domain-specific computing
To meet computing needs and overcome power density limitations, the computing industry
has entered the era of parallelization. However, highly parallel, general-purpose computing …
has entered the era of parallelization. However, highly parallel, general-purpose computing …
Paver: Locality graph-based thread block scheduling for gpus
The massive parallelism present in GPUs comes at the cost of reduced L1 and L2 cache
sizes per thread, leading to serious cache contention problems such as thrashing. Hence …
sizes per thread, leading to serious cache contention problems such as thrashing. Hence …