Thomas Hartenstein and Daniel Maier and Biagio Cosenza and Ben Juurlink (2019,). Memory-aware Weight Pruning for Deep Neural Networks. [13]. PARS-Mitteilungen, (to appear)

Stefan Hauser and Nico Moser and Ben Juurlink (2012). SynZEN: A Hybrid TTA/VLIW Architecture with a Distributed Register File [14]. NORCHIP

Stefan Hauser and Nico Moser and Carsten Gremzow and Ben Juurlink (2010). Transport Triggered Interconnection Network for a Scalable Application-Specific Processor [15]. ACACES 2010 - Poster Abstracts. High Performance and Embedded Architecture and Compilation, 155–158.

Ben H. H. Juurlink and Jan Lucas and Nadjib Mammeri and Georgios Keramidas and Katerina Pontzolkova and Ignacio Aransay and Chrysa Kokkala and Martyn Bliss and Andrew Richards (2017). Enabling GPU software developers to optimize their applications - The LPGPU(^mbox2) approach [16]. 2017 Conference on Design and Architectures for Signal and Image Processing, DASIP 2017, Dresden, Germany, September 27-29, 2017. IEEE, 1–6.

Ben Juurlink and C. H. Meenderinck (2012). Amdahl's law for predicting the future of multicores considered harmful [17]. SIGARCH Comput. Archit. News. ACM, 1–9.

Ben Juurlink and Mauricio Alvarez-Mesa and Chi Ching Chi and Arnaldo Azevedo and Cor Meenderinck and Alex Ramirez (2012). Scalable Parallel Programming Applied to H.264/AVC Decoding [18]. Springer.

Ben Juurlink and Jan Lucas and Nadjib Mammeri and Martyn Bliss and Georgios Keramidas and Chrysa Kokkala and Andrew Richards (2017). The LPGPU2 Project: Low-Power Parallel Computing on GPUs: Extended Abstract [19]. Proceedings of the 20th International Workshop on Software and Compilers for Embedded Systems. ACM, 76–80.

Sohan Lal and Jan Lucas and Ben Juurlink (2019). SLC: Memory Access Granularity Aware Selective Lossy Compression for GPUs [20]. Proc. IEEE Int. Conf on Design Automation, and Test in Europe,(DATE)

Sohan Lal and Ben Juurlink (2018). A Case for Memory Access Granularity Aware Selective Lossy Compression for GPUs [21]. ACM Student Research Competition Poster and Extended Abstract at the 51st IEEE/ACM Int. Symposium on Microarchitecture (MICRO)

Sohan Lal and Jan Lucas and Michael Andersch and Mauricio Alvarez-Mesa and Ahmed Elhossini and Ben Juurlink (2014). GPGPU Workload Characteristics and Performance Analysis [22]. Proc. 14th Int. Conf. on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS XIV), 115-124.

Sohan Lal and Jan Lucas and Ben Juurlink (2017). E²MC: Entropy Encoding based Memory Compression for GPUs [23]. Proc. 31st IEEE Int. Parallel and Distributed Processing Symposium (IPDPS)

Sohan Lal and Jan Lucas and Mauricio Alvarez-Mesa and Ahmed Elhossini and Ben Juurlink (2013). Exploring GPGPUs Workload Characteristics and Power Consumption [24]. Proc. 9th Int. Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems, Fiuggi, Italy (ACACES' 13)

Sohan Lal and Jan Lucas and Ben Juurlink (2018). Memory Access Granularity Aware Lossy Compression for GPUs [25]. Proc. 14th Int. Summer School on Advanced Computer Architecture and Compilation for High-Performance and Embedded Systems, Fiuggi, Italy (ACACES' 8)

Mohammad Loni and Ali Zoljodi and Daniel Maier and Amin Majd and Masoud Daneshtalab and Mikael Sjödin and Ben Juurlink and Reza Akbari (2020). DenseDisp: Resource-Aware Disparity Map Estimation by Compressing Siamese Neural Architecture [26]. IEEE World Congress On Computational Intelligence (WCCI) 2020

Jan Lucas and Sohan Lal and Michael Andersch and Mauricio Alvarez Mesa and Ben Juurlink (2013). How a Single Chip Causes Massive Power Bills - GPUSimPow: A GPGPU Power Simulator [27]. Proc. IEEE Int. Symposium on Performance Analysis of Systems and Software (ISPASS)