Works (7)

Updated: March 25th, 2024 08:09

2013 journal article

Locality principle revisited: A probability-based quantitative approach

JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 73(7), 1011–1027.

By: S. Gupta n, P. Xiang n, Y. Yang n & H. Zhou n

author keywords: Locality of references; Probability; Memory hierarchy; Last level cache; Cache replacement policy; Data prefetching; Locality optimizations
TL;DR: This paper revisits the fundamental concept of the locality of references and proposes to quantify it as a conditional probability: in an address stream, how likely the same address or an address within its neighborhood will be accessed in the near future is defined. (via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2013 journal article

The Implementation of a High Performance GPGPU Compiler

INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING, 41(6), 768–781.

By: Y. Yang n & H. Zhou n

author keywords: GPU; Compiler; Optimization; Vectorization; OpenCL
TL;DR: This paper presents the experience in developing an optimizing compiler for general purpose computation on graphics processing units (GPGPU) based on the Cetus compiler framework, which achieves very high performance, either superior or very close to highly fine-tuned libraries. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2012 journal article

A Unified Optimizing Compiler Framework for Different GPGPU Architectures

ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION, 9(2).

By: Y. Yang n, P. Xiang n, J. Kong*, M. Mantor* & H. Zhou n

author keywords: Performance; Experimentation; Languages; GPGPU; OpenCL; CUDA; CUBLAS; GPU Computing
TL;DR: A novel optimizing compiler for general purpose computation on graphics processing units (GPGPU) that addresses two major challenges of developing high performance GPGPU programs: effective utilization of GPU memory hierarchy and judicious management of parallelism. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2012 conference paper

CPU-assisted GPGPU on fused CPU-GPU architectures

International symposium on high-performance computer, 103–114.

By: Y. Yang, P. Xiang, M. Mantor & H. Zhou

Source: NC State University Libraries
Added: August 6, 2018

2012 conference paper

Locality principle revisited: A probability-based quantitative approach

2012 ieee 26th international parallel and distributed processing symposium (ipdps), 995–1009.

By: S. Gupta n, P. Xiang n, Y. Yang n & Huiyang

UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities (Web of Science; OpenAlex)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018

2010 article

An Optimizing Compiler for GPGPU Programs with Input-Data Sharing

Yang, Y., Xiang, P., Kong, J., & Zhou, H. (2010, May). ACM SIGPLAN NOTICES, Vol. 45, pp. 343–344.

By: Y. Yang n, P. Xiang*, J. Kong* & H. Zhou n

author keywords: Performance; Experimentation; Languages; GPGPU; Compiler
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2010 article

An Optimizing Compiler for GPGPU Programs with Input-Data Sharing

PPOPP 2010: PROCEEDINGS OF THE 2010 ACM SIGPLAN SYMPOSIUM ON PRINCIPLES AND PRACTICE OF PARALLEL PROGRAMMING, pp. 343–344.

By: Y. Yang n, P. Xiang*, J. Kong* & H. Zhou n

author keywords: GPGPU; Compiler
TL;DR: A novel compiler to optimize GPGPU programs is introduced, which takes a naive GPU kernel function, which is functionally correct but without any consideration for performance optimization, and generates optimized code. (via Semantic Scholar)
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

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