Recent & Highlighted Items

Wen-Mei Hwu Speaks at Cornell University (April 7, 2014)

The IMPACT group at the University of Illinois has been working on the co-design of scalable algorithms and programming tools for massively threaded heterogeneous computing. A major challenge that we are addressing is to simultaneously achieve scalability, performance, numerical stability, portability, and productivity in GPU computing. In this talk, I will give a brief overview of the NSF Blue Waters petascale heterogeneous parallel computing system at the University of Illinois. I will show experimental results of our achievements to date in applications, libraries, and MxPA. I will then discuss our current work on Tangram and Triolet projects that are aimed to drastically reduce the development and maintenance cost of heterogeneous parallel computing applications.

Wen-Mei Hwu Speaks at Michigan Engineering (March 19, 2014)

Scalability, Performance, Stability, and Portability of Many-core Computing Algorithms

The IMPACT group at the University of Illinois has been working on the co-design of scalable algorithms and programming tools for massively threaded computing. A major challenge that we are addressing is to simultaneously achieve scalability, performance, numerical stability, portability, and development cost. In this talk, I will go over the major building blocks involved: memory layout and dynamic tiling. I will show experimental results to demonstrate how these building blocks jointly enable the first scalable, numerically stable tri-diagonal solver that matches the numerical stability of the Intel Math Kernel Library (MKL) and surpass the performance of CUSPARSE. I will then give an overview of the Tangram and Triolet projects that are aimed to drastically improve the quality and reduce the development and maintenance cost future many-core algorithms.

“The Standard Performance Evaluation Corporation (SPEC) is a non-profit corporation formed to establish, maintain and endorse a standardized set of relevant benchmarks that can be applied to the newest generation of high-performance computers. SPEC develops benchmark suites and also reviews and publishes submitted results from our member organizations and other benchmark licensees.”

The IMPACT Research Group and specifically the work of Dr. John Stratton,  was honored at the SPEC annual meeting in January with the SPECtacular award for collaboratively developing the OpenCL benchmark suite which has been adopted as part of the SPEC Accelerator Benchmark Suite (to be released soon). The Parboil benchmarks are a set of applications useful for studying the performance of throughput computing architectures and compilers. The benchmarks come from a variety of scientific and commercial fields including image processing, biomolecular simulation, fluid dynamics, and astronomy.

Parboil Benchmark Contributions Receive the SPECtacular Award

“The Standard Performance Evaluation Corporation (SPEC) is a non-profit corporation formed to establish, maintain and endorse a standardized set of relevant benchmarks that can be applied to the newest generation of high-performance computers. SPEC develops benchmark suites and also reviews and publishes submitted results from our member organizations and other benchmark licensees.”

The IMPACT Research Group and specifically the work of Dr. John Stratton,  was honored at the SPEC annual meeting in January with the SPECtacular award for collaboratively developing the OpenCL benchmark suite which has been adopted as part of the SPEC Accelerator Benchmark Suite (to be released soon). The Parboil benchmarks are a set of applications useful for studying the performance of throughput computing architectures and compilers. The benchmarks come from a variety of scientific and commercial fields including image processing, biomolecular simulation, fluid dynamics, and astronomy.

Upcoming Items

Recent & Highlighted Papers

2014

"Multi-tier Dynamic Vectorization for Translating GPU Optimizations into CPU Performance", Kim, Hee-Seok; El Hajj, Izzat; Stratton, John A.; Hwu, Wen-mei, IMPACT Technical Report, IMPACT-14-01, University of Illinois at Urbana-Champaign, Center for Reliable and High-Performance Computing, February 5, 2014. [more...]
 
2013

"Mapping Tridiagonal Solvers to Linear Recurrences", Chang, Li-Wen; Hwu, Wen-mei, IMPACT Technical Report, IMPACT-13-01, University of Illinois at Urbana-Champaign, Center for Reliable and High-Performance Computing, Sept. 8, 2013 . [more...]
 
"Throughput-Oriented Kernel Porting onto FPGAs", Papakonstantinou, Alexandros; Chen, Deming; Hwu, Wen-mei; Cong, Jason; Liang, Yun, Proceedings of the 50th Annual Design Automation Conference, May 2013 . [more...]