Michalis Papadimitriou

OctoML · Core Compiler

Computational finance is a domain where performance is in high demand. In this work, we investigate the suitability of Intel Xeon Phi for computational finance simulations. Specifically, we use a scenario based ALM (Asset Liability Management) model and propose a novel OpenCL implementation for Xeon Phi. To further improve the performance of the ap...

Heterogeneous computing has emerged as a means to achieve high performance and energy efficiency. Naturally, this trend has been accompanied by changes in software development norms that do not necessarily favor programmers. A prime example is the two most popular heterogeneous programming languages, CUDA and OpenCL, which expose several low-level...

The slowdown of Moore's law along with the end of Dennard's scaling and the ever-increasing demand for computing power have shown the performance limitations of homogeneous systems. To address this issue, computer architects have taken advantage of the recent technological advancements in order to come up with heterogeneous solutions where the exte...

By utilizing diverse heterogeneous hardware resources, developers can significantly improve the performance of their applications. Currently, in order to determine which parts of an application suit a particular type of hardware accelerator better, an offline analysis that uses a priori knowledge of the target hardware configuration is necessary. T...

In recent years, heterogeneous computing has emerged as the vital way to increase computers? performance and energy efficiency by combining diverse hardware devices, such as Graphics Processing Units (GPUs) and Field Programmable Gate Arrays (FPGAs). The rationale behind this trend is that different parts of an application can be offloaded from the...

In this work, we propose an approach for transparent compilation and execution of Java programs onto Intel FPGA devices. In detail, we showcase how a managed runtime environment can leverage Intel OpenCL SDK to generate specialized FPGA code, enabling prototyping and acceleration of Java Programs onto FPGAs. Finally, we describe our implementation...

The proliferation of heterogeneous hardware in recent years means that every system we program is likely to include a mix of compute elements; each with different characteristics. By utilizing these available hardware resources, developers can improve the performance and energy efficiency of their applications. However, existing tools for heterogen...

Heterogeneous computing has emerged as a means to achieve high performance and energy efficiency. Naturally, this trend has been accompanied by changes in software development norms that do not necessarily favor programmers. A prime example is the two most popular heterogeneous programming languages, CUDA and OpenCL, which expose several low-level...