Publications by Endri Bezati | EPFL Graph Search

Generating hardware and software for RISC-V cores generated with Rocket Chip generator

This paper presents the hardware/software generation backend of a code generation framework. The backend aims at synthesizing complete systems based on RISC-V cores with accelerators from a single-language description. The framework takes the dataflow desc ...

IEEE2021

Programming Heterogeneous CPU-GPU Systems by High-Level Dataflow Synthesis

Marco Mattavelli, Endri Bezati, Aurélien François Gilbert Bloch

Heterogeneous processing platforms combining in various architectures CPUs, GPUs, and programmable logic, are continuously evolving providing at each generation higher theoretical levels of computing performance. However, the challenge of how efficiently s ...

IEEE2020

Pipeline Synthesis and Optimization from Branched Feedback Dataflow Programs

Marco Mattavelli, Anatoly Prihozhy, Endri Bezati, Simone Casale Brunet

Large dataflow designs are a result of behavioral specification of modern complex digital systems and/or a result of unfolding and transforming looped and branched programs. Since deep-submicron silicon technology provides large amounts of available resour ...

SPRINGER2020

An Heterogeneous Compiler Of Dataflow Programs For Zynq Platforms

Marco Mattavelli, Romuald Mosqueron, Endri Bezati, Simone Casale Brunet

In recent years, the number and variety of heterogeneous multiprocessor system-on-chip MPSoCs, such as for instance Zynq platforms, has sensibly increased. However, today all design flow solutions capable of programming the different components of such pla ...

IEEE2019

Composite Data Types in Dynamic Dataflow Languages as Copyless Memory Sharing Mechanism

Marco Mattavelli, Endri Bezati, Aurélien François Gilbert Bloch

This paper presents new optimization approaches aiming at reducing the impact of memory accesses on the performance of dataflow programs. The approach is based on introducing a high level management of composite data types in dynamic dataflow programming l ...

2019

High-Precision Performance Estimation for the Design Space Exploration of Dynamic Dataflow Programs

Marco Mattavelli, Endri Bezati, Simone Casale Brunet, Malgorzata Maria Michalska

The implementation and optimization of dynamic dataflow programs on multi/many-core platforms require solving a very difficult problem: how to partition and schedule the processing elements and dimension their interconnecting buffers according to given opt ...

2017

Shared-variable Synchronization Approaches for Dynamic Data Flow Programs

Marco Mattavelli, Junaid Jameel Ahmad, Endri Bezati, Simone Casale Brunet, Apostolos Modas

This paper presents shared-variable synchronization approaches for dataflow programming. The mechanisms do not require any substantial model of computation (MoC) modification, and is portable across both for hardware (HW) and software (SW) low-level code s ...

IEEE2018

Efficient Dynamic Optimisation Heuristics for Dataflow Pipelines

Marco Mattavelli, Anatoly Prihozhy, Endri Bezati, Simone Casale Brunet

Large dataflow designs appear as a result of functional specification of modern complex digital systems and/ or a result of unfolding and behavioral transformation of looped and branched programs. Since deep-submicron silicon technology provides large amou ...

IEEE2018

Performance estimation of program partitions on multi-core platforms, 2016 26th International Workshop on Power and Timing Modeling, Optimization and Simulation (PATMOS)

Marco Mattavelli, Junaid Jameel Ahmad, Endri Bezati, Simone Casale Brunet, Malgorzata Maria Michalska

The exploration of different design configurations of dynamic dataflow programs executed on many-core or multi-core platforms is, in general, a very difficult task. Determining a close-to-optimal partitioning, scheduling and buffer dimensioning configurati ...

2017

High level synthesis of Smith-Waterman dataflow implementations

Marco Mattavelli, Endri Bezati, Simone Casale Brunet

The paper presents the results of design explorations for the implementation of the Smith-Waterman (S-W) algorithm executing DNA and protein sequences alignment. Both design explorations studies and the corresponding FPGA implementations are obtained by wr ...

2017

Buffer dimensioning for throughput improvement of dynamic dataflow signal processing applications on multi-core platforms

Marco Mattavelli, Endri Bezati, Simone Casale Brunet, Malgorzata Maria Michalska

Executing a dataflow program on a parallel platform requires assigning to each buffer a given size so that correct program executions take place without introducing any deadlock. Furthermore, in the case of dynamic dataflow programs, specific buffer size a ...

2017

Design space exploration of dataflow-based Smith-Waterman FPGA implementations

Marco Mattavelli, Endri Bezati, Simone Casale Brunet

2017

Design Space Exploration Problem Formulation for Dataflow Programs on Heterogeneous Architectures

Marco Mattavelli, Nicolas Zufferey, Endri Bezati, Malgorzata Maria Michalska

The implementations of signal processing systems on the emerging many-core or multi-core processing platforms require to solve a very difficult problem: how to partition and schedule the processing tasks according to given optimization functions such as da ...

2016

Programming Models and Methods for Heterogeneous Parallel Embedded Systems

Marco Mattavelli, Endri Bezati, Simone Casale Brunet

The growing complexity of digital signal processing applications makes a compelling case for the adoption of higher-level programming models such as dataflow for the implementation of applications on programmable logic devices and many/multi-core embedded ...

2016

High-level system synthesis and optimization of dataflow programs for MPSoCs

Marco Mattavelli, Endri Bezati, Simone Casale Brunet

The growing complexity of digital signal processing applications make a compelling case the use of high-level design and synthesis methodologies for the implementation on reconfigurable and embedded devices. Past research has shown that raising the level o ...

2016

Trace-based manycore partitioning of stream-processing applications

Marco Mattavelli, Endri Bezati, Simone Casale Brunet, Malgorzata Maria Michalska

Application performance on these processor array platforms is highly sensitive to how functionality is physically placed on the device, as this choice crucially determines communication latencies and congestion patterns of the on-chip inter-core communicat ...

2016

High-Precision Performance Estimation of Dynamic Dataflow Programs

Marco Mattavelli, Endri Bezati, Simone Casale Brunet, Malgorzata Maria Michalska

An important challenge for a dataflow designer is to efficiently explore the design space in order to find a set of configurations that satisfy the defined objective function. The exploration directions may involve the partitioning, scheduling and buffer d ...

2016

Clock-Gating of Streaming Applications for Energy Efficient Implementations on FPGAs

Marco Mattavelli, Endri Bezati, Simone Casale Brunet

This paper investigates the reduction of dynamic power for streaming applications yielded by asynchronous dataflow designs by using clock gating techniques. Streaming applications constitute a very broad class of computing algorithms in areas such as signa ...

2016

High-level synthesis of dynamic dataflow programs on heterogeneous MPSoC platforms

Marco Mattavelli, Endri Bezati, Simone Casale Brunet

The growing complexity of digital signal processing applications make a compelling case the use of high-level design and synthesis methodologies for the implementation on programmable logic devices and embedded processors. Past research has shown that, for ...

2016

Automated Design Flow for Multi-Functional Dataflow-Based Platforms

Marco Mattavelli, Endri Bezati, Simone Casale Brunet

The implementation of processing platforms supporting multiple applications by runtime reconfigurations on dedicated hardware modules requires the solution of different problems. These problems are notably not-trivial since both platform and application co ...

Springer Verlag2015