Programme

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[...]

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[...]

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,[...]

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[...]

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,[...]