AnyDSL: A partial evaluation framework for programming high-performance libraries
This paper advocates programming high-performance code using partial evaluation. We
present a clean-slate programming system with a simple, annotation-based, online partial …
present a clean-slate programming system with a simple, annotation-based, online partial …
Dynamic application reconfiguration on heterogeneous hardware
By utilizing diverse heterogeneous hardware resources, developers can significantly
improve the performance of their applications. Currently, in order to determine which parts of …
improve the performance of their applications. Currently, in order to determine which parts of …
Exploiting high-performance heterogeneous hardware for java programs using graal
The proliferation of heterogeneous hardware in recent years means that every system we
program is likely to include a mix of compute elements; each with different characteristics. By …
program is likely to include a mix of compute elements; each with different characteristics. By …
[HTML][HTML] {VectorVisor}: A Binary Translation Scheme for {Throughput-Oriented}{GPU} Acceleration
Papers are available for download below to registered attendees now. The papers and the
full proceedings will be available to everyone beginning Monday, July 10, 2023. Paper …
full proceedings will be available to everyone beginning Monday, July 10, 2023. Paper …
Python programmers have GPUs too: automatic Python loop parallelization with staged dependence analysis
Python is a popular language for end-user software development in many application
domains. End-users want to harness parallel compute resources effectively, by exploiting …
domains. End-users want to harness parallel compute resources effectively, by exploiting …
Transparent compiler and runtime specializations for accelerating managed languages on fpgas
In recent years, heterogeneous computing has emerged as the vital way to increase
computers? performance and energy efficiency by combining diverse hardware devices …
computers? performance and energy efficiency by combining diverse hardware devices …
Scootr: Scaling r dataframes on dataflow systems
To cope with today's large scale of data, parallel dataflow engines such as Hadoop, and
more recently Spark and Flink, have been proposed. They offer scalability and performance …
more recently Spark and Flink, have been proposed. They offer scalability and performance …
r3d3: Optimized query compilation on gpus
A Krolik, C Verbrugge, L Hendren - 2021 IEEE/ACM …, 2021 - ieeexplore.ieee.org
Query compilation is an effective approach to improve the performance of repeated
database queries. GPU-based approaches have significant promise, but face difficulties in …
database queries. GPU-based approaches have significant promise, but face difficulties in …
Modular array-based gpu computing in a dynamically-typed language
M Springer, P Wauligmann, H Masuhara - Proceedings of the 4th ACM …, 2017 - dl.acm.org
Nowadays, GPU accelerators are widely used in areas with large data-parallel computations
such as scientific computations or neural networks. Programmers can either write code in …
such as scientific computations or neural networks. Programmers can either write code in …
Enabling pipeline parallelism in heterogeneous managed runtime environments via batch processing
During the last decade, managed runtime systems have been constantly evolving to become
capable of exploiting underlying hardware accelerators, such as GPUs and FPGAs …
capable of exploiting underlying hardware accelerators, such as GPUs and FPGAs …