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GPGPU-7: Proceedings of Workshop on General Purpose Processing Using GPUs
ACM2014 Proceeding
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
GPGPU-7: Seventh Workshop on General Purpose Processing Using GPUs Salt Lake City UT USA 1 March 2014
ISBN:
978-1-4503-2766-4
Published:
01 March 2014
In-Cooperation:
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Abstract

No abstract available.

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research-article
Application-aware Memory System for Fair and Efficient Execution of Concurrent GPGPU Applications

The available computing resources in modern GPUs are growing with each new generation. However, as many general purpose applications with limited thread-scalability are tuned to take advantage of GPUs, available compute resources might not be optimally ...

research-article
KMA: A Dynamic Memory Manager for OpenCL

OpenCL is becoming a popular choice for the parallel programming of both multi-core CPUs and GPGPUs. One of the features missing in OpenCL, yet commonly required in irregular parallel applications, is dynamic memory allocation. In this paper, we propose ...

research-article
Efficient Instrumentation of GPGPU Applications Using Information Flow Analysis and Symbolic Execution

Dynamic instrumentation of GPGPU binaries makes possible real-time introspection methods for performance debugging, correctness checks, workload characterization, and runtime optimization. Such instrumentation involves inserting code at the instruction ...

research-article
Measuring GPU Power with the K20 Built-in Sensor

GPU-accelerated programs are becoming increasingly common in HPC, personal computers, and even handheld devices, making it important to optimize their energy efficiency. However, accurately profiling the power consumption of GPU code is not ...

research-article
Performance Evaluation and Optimization Mechanisms for Inter-operable Graphics and Computation on GPUs

Graphics Processing Units (GPUs) have gained recognition as the primary form of accelerators for graphics rendering in the gaming domain. They have also been widely accepted as the computing platform of choice in many scientific and high performance ...

research-article
GLZSS: LZSS Lossless Data Compression Can Be Faster

The need for data compression has grown for better utilization of network bandwidth and data storage space. LZ77 is the most widely used data compression method, which has many variants in practical applications. The biggest obstacle that prevents data ...

research-article
ad-heap: an Efficient Heap Data Structure for Asymmetric Multicore Processors

Heap is one of the most important fundamental data structures in computer science. Unfortunately, for a long time heaps did not obtain ideal performance gain from widely used throughput-oriented processors because of two reasons: (1) heap property ...

research-article
A CPU: GPU Hybrid Implementation and Model-Driven Scheduling of the Fast Multipole Method

This paper presents an optimized CPU--GPU hybrid implementation and a GPU performance model for the kernel-independent fast multipole method (FMM). We implement an optimized kernel-independent FMM for GPUs, and combine it with our previous CPU ...

research-article
ParallelJS: An Execution Framework for JavaScript on Heterogeneous Systems

JavaScript has been recognized as one of the most widely used script languages. Optimizations of JavaScript engines on mainstream web browsers enable efficient execution of JavaScript programs on CPUs. However, running JavaScript applications on ...

research-article
APR: A Novel Parallel Repacking Algorithm for Efficient GPGPU Parallel Code Transformation

General-purpose graphics processing units (GPGPU) brings an opportunity to improve the performance for many applications. However, exploiting parallelism is low productive in current programming frameworks such as CUDA and OpenCL. Programmers have to ...

research-article
Power Modeling for Heterogeneous Processors

As power becomes an ever more important design consideration, there is a need for accurate power models at all stages of the design process. While power models are available for CPUs and GPUs, only simple models are available for heterogeneous ...

research-article
Exploiting GPU Hardware Saturation for Fast Compiler Optimization

Graphics Processing Units (GPUs) are efficient devices capable of delivering high performance for general purpose computation. Realizing their full performance potential often requires extensive compiler tuning. This process is particularly expensive ...

Contributors
  • University of Delaware
  • Northeastern University

Recommendations

Acceptance Rates

GPGPU-7 Paper Acceptance Rate 12 of 27 submissions, 44%;
Overall Acceptance Rate 57 of 129 submissions, 44%
YearSubmittedAcceptedRate
GPGPU '2012758%
GPGPU '1915640%
GPGPU-1015853%
GPGPU '1623939%
GPGPU-7271244%
GPGPU-6371541%
Overall1295744%