Programme

As the use of computers proliferates, the complexity and variety of systems continues to grow. As a result, it is becoming increasingly inflexible to “hard wire” behaviours into software. Software developers can enable more control over their software[...]

Adapting code initially written in a “neutral” algorithmic style to be executed in heterogeneous architectures (featuring e.g. GPGPUs, FPGAs), and later maintaining it, is a difficult and error-prone task.  It requires knowledge about the programming model of the[...]

The increased processing capability of mobile and embedded platforms is enabling more and more ambitious machine vision applications.  Industry players are actively pushing embedded vision in the entertainment, automotive and robotics domains. Mobile vision couples high computational requirements with[...]

This half-day workshop will focus on current developments in the area of auto-tuning, with a focus not only on performance but also on energy efficiency. A variety of projects dealing with auto-tuning – ranging from[...]

This tutorial will present the DynamoRIO tool platform and describe how to use its API to build custom tools that utilize dynamic code manipulation for instrumentation, profiling, analysis, optimization, introspection, security, and more. The DynamoRIO tool platform was first released[...]

General purpose as well as integrated processors nowadays have to run programs written in a wide variety of languages with isolation concerns. Dynamic compilation, i.e. generate binary code at run-time, is becoming a viable solution[...]

This tutorial will present gpucc, an open-source compiler built by Google targeting CUDA and NVIDIA GPUs. gpucc performs various general and CUDA-specific optimizations to generate high performance code. It outperforms NVIDIA’s toolchain (nvcc) on internal large-scale[...]

Long employed by industry, large scale use of binary translation and on-the-fly code generation and optimization is becoming pervasive both as an enabler for virtualization, processor migration and also as processor implementation technology. The emergence[...]

Beyond the embarrassingly parallel – New languages, compilers, and runtimes for big-data processing Large-scale data processing requires large-scale parallelism. Data-processing systems from traditional databases to Hadoop and Spark rely on embarrassingly-parallel relational primitives (e.g. map,[...]

Chair: Mary Lou Soffa (University of Virginia) #4: Tongping Liu and Xu Liu. Cheetah: Detecting False Sharing Efficiently and Effectively #27: Dehao Chen, Xinliang David Li and Tipp Moseley. AutoFDO: Automatic Feedback-directed Optimization for Warehouse-scale Applications[...]

Chair: Dorit Nuzman (Intel) #53: Probir Roy and Xu Liu. MemTool: A Lightweight Profiler to Guide Structure Splitting #29: Linchuan Chen, Peng Jiang and Gagan Agrawal. Expoliting Recent SIMD Architectural Advances for Irregular Applications #59: Hao[...]

Chair: Vijay Janapa Reddi (University of Texas) #52: Raj Barik, Naila Farooqui, Brian Lewis, Chunling Hu and Tatiana Shpeisman. A Black-box Approach to Energy-Aware Scheduling on Integrated CPU-GPU Systems #5: Christos Margiolas and Michael F.P. O’Boyle.[...]

 

50 Years of Parallel programming: Ieri, Oggi, Domani* Parallel programming started in the mid-60’s with the pioneering work of Karp and Miller, David Kuck, Jack Dennis and others, and as a discipline, it is now[...]

 

Chair: Louis-Noël Pouchet (Ohio State University) #91: Daniele G. Spampinato and Markus Püschel. A Basic Linear Algebra Compiler for Structured Matrices #38: Lénaïc Bagnères, Oleksandr Zinenko, Stéphane Huot and Cédric Bastoul. Opening Polyhedral Compiler’s Black Box[...]

 

Chair: Michael O’Boyle (University of Edinburgh) #42: Mateus Tymburiba, Rubens Emílio and Fernando Pereira. Inference of Peak Density of Indirect Branches to Detect ROP Attacks #25: Yulei Sui, Peng Di and Jingling Xue. Sparse Flow-Sensitive Pointer[...]

 

Chair: Mauricio Breternitz (AMD) #74: Vassilis Vassiliadis, Jan Riehme, Jens Deussen, Konstantinos Parasyris, Christos D. Antonopoulos, Nikolaos Bellas, Spyros Lalis and Uwe Naumann. Towards Automatic Significance Analysis for Approximate Computing #17: Kevin Brown, Hyoukjoong Lee, Tiark[...]

 

Knights Landing Intel Xeon Phi CPU: Path to Parallelism with General Purpose Programming The demand for high performance will continue to skyrocket in the future, fueled by the drive to solve the challenging problems in[...]

 

Chair: Aaron Smith (Microsoft) #45: Soham Chakraborty and Viktor Vafeiadis. Validating Optimizations of Concurrent C/C++ Programs #85: Ignacio Laguna, Martin Schulz, David F. Richards, Jon Calhoun and Luke Olson. IPAS: Intelligent Protection Against Silent Output Corruption[...]

 

Chair: Soo-mook Moon (Seoul National University) #95: Daniele Cono D’Elia and Camil Demetrescu. Flexible On-Stack Replacement in LLVM #96: Byron Hawkins, Brian Demsky and Michael Taylor. BlackBox: Lightweight Security Monitoring for COTS Binaries #69: Toshihiko Koju,[...]